Selected Publications of Dr. Vincent S. Tseng

Has published more than 400 Journal/Conference papers with more than 16,000 citations (H-Index:68) by Google Scholar.

  1. Books

    1. Philippe Fournier-Viger, Jerry Chun-Wei Lin, Roger Nkambou, Bay Vo, Vincent S. Tseng, “High-Utility Pattern Mining: Theory, Algorithm and Applications,” Springer Publisher, 2019.

  1. Book Chapters

  1. Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng, “On Genetic-Fuzzy Data-Mining Techniques,” in Granular, Fuzzy, and Soft Computing, Springer, 2023, pp. 97-116.

  2. Ling Chen, Vincent S. Tseng, Hsuan-Ming Tsao, Gau-Jun Tang, “Chapter 3 - Personalized decision support for cardiology based on deep learning: an overview,” in Edge-of-Things in Personalized Healthcare Support Systems, Rajeswari Sridhar, G.R. Gangadharan, Michael Sheng, Rajan Shankaran, Academic Press, 2022, pp. 45-75.

  3. Cheng-Wei Wu, Philippe Fournier-Viger, Jia-Yuan Gu, Vincent S. Tseng. ”Mining Compact High Utility Itemsets Without Candidate Generation,” in High-Utility Pattern Mining: Theory, Algorithm and Applications, Springer, 2019, pp. 279-302.

  1. Journal Papers

  1. Benny Wei-Yun Hsu, Wei-Wen Hsiao, Ching-Yi Liu, Vincent S. Tseng*, and Chih-Hung Lee*, “Rapid and noninvasive estimation of human arsenic exposure based on 4-photo-set of the hand and foot photos through artificial intelligence,” Journal of Hazardous Materials, vol.480, 2024. (DOI: 10.1016/j.jhazmat.2024.136003).

  2. Benny Wei-Yun Hsu and Vicent S. Tseng* “LightDPH: Lightweight Dual-Projection-Head Hierarchical Contrastive Learning for Skin Lesion Classification,” Journal of Healthcare Informatics Research, Vol. 8, pp.619-639, 2024.

  3. Hong-Jie Dai, Chen-Kai Wang, Chien-Chang Chen, Chong-Sin Liou, An-Tai Lu, Chia-Hsin Lai, Bo-Tsz Shain, Cheng-Rong Ke, William Yu Chung Wang, Tatheer Hussain Mir, Mutiara Simanjuntak, Hao-Yun Kao, Ming-Ju Tsai, Vincent S. Tseng*, “Evaluating a Natural Language Processing--Driven, AI-Assisted International Classification of Diseases, 10th Revision, Clinical Modification, Coding System for Diagnosis Related Groups in a Real Hospital Environment: Algorithm Development and Validation Study,” Journal of Medical Internet Research, vol. 26, pp. e58278, 2024. (DOI: 10.2196/58278).

  4. Hsu-Hang Yeh, Benny Wei-Yun Hsu, Sheng-Yuan Chou, Ting-Jung Hsu, Vincent S. Tseng, and Chih-Hung Lee, “Deep Deblurring in Teledermatology: Deep Learning Models Restore the Accuracy of Blurry Images’ Classification,” Telemedicine and e-Health, 2024. (DOI: 10.1089/tmj.2023.0703)

  5. Yu Huang, Gary G. Yen, Vincent S. Tseng*, “Snippet Policy Network V2: Knee-guided Neuroevolution for Multi-lead ECG Early Classification,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 35, no. 2, pp. 2167-2181, Feb. 2024. (DOI: 10.1109/TNNLS.2022.3187741).

  6. Hui-Ting Christine Lin, and Vincent S. Tseng*, “Periodic Transformer Encoder for Multi-Horizon Travel Time Prediction,” Electronics, Basel, Switzerland, Vol. 13, No. 11, Article No. 2094, May 2024. (DOI: 10.3390/electronics13112094).

  7. Hui-Ting Christine Lin, Hao Dai, and Vincent S. Tseng*, “Short-term and Long-term Travel Time Prediction using Transformer-based Techniques,” Applied Sciences, Basel, Switzerland, Vol. 14, No. 11, Article No. 4913, 2024. (DOI: 10.3390/app14114913).

  8. You-Sin Chen, Chu-Lan Michael Kao, Po-Hsien Liu, Vincent S. Tseng*, “Extracting Stock Predictive Information in Mutual Fund Managers’ Portfolio Decisions Through Machine Learning with Hypergraph,” Computational Economics, pp. 1-37, July 2024. (DOI: 10.1007/s10614-024-10673-7).

  9. T. -E. Chao, Y. Huang, H. Dai, G. G. Yen and V. S. Tseng*, “Early Time Series Anomaly Prediction With Multi-Objective Optimization,” in  IEEE Transactions on Emerging Topics in Computational Intelligence. (DOI: 10.1109/TETCI.2024.3423472).

  10. Ling Chen, Sung-Hao Huang*, Tzu-Hsiang Wang, Vincent S. Tseng, Hsuan-Ming Tsao, Gau-Jun Tang, “Automatic 3D left atrial strain extraction framework on cardiac computed tomography,” Computer Methods and Programs in Biomedicine, Vol. 252, pp.108236, 2024. (DOI: 10.1016/j.cmpb.2024.108236)

  11. Chen L, Tseng VS, Tsung TH, Lu DW., “A multi-label transformer-based deep learning approach to predict focal visual field progression,’ Graefe's archive for clinical and experimental ophthalmology. Published online February 9, 2024. (DOI: 10.1007/s00417-024-06393-1).

  12. Chou, R. H., Hsu, B. W., Yu, C. L., Chen, T. Y., Ou, S. M., Lee, K. H., Tseng, V. S., Huang, P. H., & Tarng, D. C., “Machine-learning models are superior to severity scoring systems for the prediction of the mortality of critically ill patients in a tertiary medical center,” Journal of the Chinese Medical Association : JCMA. Published online February 9, 2024. (DOI: 10.1097/JCMA.0000000000001066).

  13. Ming-Tse Kuo, Benny Wei-Yun Hsu, Yi Sheng Lin, Po-Chiung Fang, Hun-Ju Yu, Yu-Ting Hsiao, Vincent S. Tseng*, “Monitoring the Progression of Clinically Suspected Microbial Keratitis Using Convolutional Neural Networks,” Translational Vision Science & Technology, Vol. 12, No. 11, pp. 1-1, 2023.

  14. Hao Dai, Hsin-Ginn Hwang, Vincent S. Tseng*, “PoEMS: Policy Network-based Early Warning Monitoring System for Sepsis in Intensive Care Units,” IEEE Journal of Biomedical and Health Informatics, Vol. 27, No. 7, pp. 3610-3621, July 2023. (DOI: 10.1109/JBHI.2023.3272486)

  15. Ling Chen, Sung-Hao Huang*, Tzu-Hsiang Wang, Tzuo-Yun Lan, Vincent S Tseng, Hsuan-Ming Tsao, Hsueh-Han Wang, Gau-Jun Tang, “Deep learning-based automatic left atrial appendage filling defects assessment on cardiac computed tomography for clinical and subclinical atrial fibrillation patients,” Heliyon, Volume 9, Issue 1, e12945, 2023.

  16. L. -M. Tseng, C. -Y. Chuang, S. -K. Chua and V. S. Tseng*, "Identification of Coronary Culprit Lesion in ST Elevation Myocardial Infarction by Using Deep Learning," IEEE Journal of Translational Engineering in Health and Medicine, vol. 11, pp. 70-79, 2023. (DOI: 10.1109/JTEHM.2022.3227204)

  17. Yu Huang, Gary G. Yen, Vincent S. Tseng, “Snippet Policy Network for Multi-class Varied-length ECG Early Classification,” IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 35, no. 6, pp. 6349-6361, 1 June 2023. (DOI: 10.1109/TKDE.2022.3160706).

  18. Lin, M.-C.; Tseng, V.S.; Lin, C.-S.; Chiu, S.-W.; Pan, L.-K.; Pan, L.-F*. “Quantitative Prediction of SYNTAX Score for Cardiovascular Artery Disease Patients via the Inverse Problem Algorithm Technique as Artificial Intelligence Assessment in Diagnostics,” Diagnostics, Vol. 12, No. 3180, 2022. (https://doi.org/10.3390/diagnostics12123180)

  19. Shao-Yu Yin, Yu Huang, Tien-Yu Chang, Shih-Fang Chang, Vincent S. Tseng*, “Continual Learning with Attentive Recurrent Neural Networks for Temporal Data Classification,” in Neural Networks, Vol. 158, pp.171-187, 2023.

  20. J. C. C. Tseng, S. -Y. Hsieh and V. S. Tseng*, “A Scalable Analytical Framework for Complex Event Episode Mining With Various Domains Applications,” in IEEE Access, Vol. 10, pp. 130672-130685, 2022. (DOI:10.1109/ACCESS.2022.3228962)

  21. Ming-Tse Kuo*, Benny Wei-Yun Hsu, Yi Sheng Lin, Po-Chiung Fang, Hun-Ju Yu, Yu-Ting Hsiao, and Vincent S. Tseng*, "Deep Learning Approach in Image Diagnosis of Pseudomonas Keratitis," Diagnostics, Vol. 12, No. 12, pp. 2948, 2022.

  22. Yu Huang, Hao Dai, Vincent S. Tseng*, “Periodic Attention-based Stacked Sequence to Sequence Framework for Long-term Travel Time Prediction,” in Knowledge-based Systems, Vol. 258, pp. 109976, 2022.

  23. Yu Huang, Gary G. Yen, Vincent S. Tseng*, “A Novel Constraint-based Knee-guided Neuroevolutionary Algorithm for Context-specific ECG Early Classification,” in IEEE Journal of Biomedical and Health Informatics, Vol. 26, pp. 5394-5405, 2022.

  24. Chih-Min Liu, Ming-En Hsieh, Yu-Feng Hu*, Tzu-Yin Wei, I-Chien Wu, Pei-Fen Chen, Yenn-Jiang Lin, Satoshi Higa, Nobumori Yagi, Shih-Ann Chen*, Vincent S Tseng*, “Artificial Intelligence–Enabled Model for Early Detection of Left Ventricular Hypertrophy and Mortality Prediction in Young to Middle-Aged Adults,” Circulation: Cardiovascular Quality and Outcomes, Vol. 15, No. 8, pp. e008360, 2022.

  25. Chen-Kai Wang, Feng-Duo Wang, You-Qian Lee, Pei-Tsz Chen, Bo-Hong Wang, Chu-Hsien Su, Chin-Chi Kuo, Chi-Shin Wu, Yi-Ling Chien, Hong-Jie Dai*, Vincent S. Tseng*, and Wen-Lian Hsu, “Principle-based Approach for the De-identification of Code-Mixed Electronic Health Records,” IEEE Access, Vol. 10, pp. 22875-22885, 2022.

  26. Benny Wei-Yun Hsu, Vincent S Tseng*. “Hierarchy-Aware Contrastive Learning with Late Fusion for Skin Lesion Classification,” Computer Methods and Programs in Biomedicine, Vol. 216, pp. 106666, Apr. 2022.

  27. Yi-Syuan Wu, Wei-Yun Wang, Ta-Chien Chan, Yu-Lung Chiu, Hung-Che Lin, Yu-Tien Chang, Hao-Yi Wu, Tzu-Chi Liu, Yu-Cheng Chuang, Jonan Wu, Wen-Yen Chang, Chien-An Sun, Meng-Chiung Lin, Vincent S Tseng, Je-Ming Hu, Yuan-Kuei Li, Po-Jen Hsiao, Chao-Wen Chen, Hao-Yun Kao, Chia-Cheng Lee, Chung-Bao Hsieh, Chih-Hung Wang, Chi-Ming Chu*. “Effect of the Nintendo Ring Fit Adventure Exergame on Running Completion Time and Psychological Factors Among University Students Engaging in Distance Learning During the COVID-19 Pandemic: Randomized Controlled Trial,” JMIR serious games, Vol. 10(1), pp. e35040, Mar. 2022.

  28. Ham Nguyen, Tuong Le*, Minh Nguyen, Philippe Fournier-Viger, Vincent S Tseng, and Bay Vo. “Mining Frequent Weighted Utility Itemsets in Hierarchical Quantitative Databases,” Knowledge-based Systems, Vol. 237, pp. 107709, Feb. 2022.

  29. Chih Min Liu, Chien-Liang Liu, Kai Wen Hu, Vincent S. Tseng, Shih Lin Chang, Yenn Jiang Lin, Li Wei Lo, Tze Fan Chao, Ta Chuan Tuan, Jo Nan Liao, Chin Yu Lin, Ting Yung Chang, Cathy Shen-Jang Fann, Satoshi Higa, Satoshi Higa, Yu Feng Hu*, Shih Ann Chen, “A Deep Learning–Enabled Electrocardiogram Model for the Identification of a Rare Inherited Arrhythmia: Brugada Syndrome.” Canadian Journal of Cardiology, Vol 38 (2), pp.152-159, Feb. 2022.

  30. Yu Tien Chang, Wen Chiuan Tsai, Wei Zhi Lin, Chia Chao Wu, Jyh Cherng Yu, Vincent S. Tseng, Guo Shiou Liao*, Je Ming Hu, Huan Ming Hsu, Yu Jia Chang, Meng Chiung Lin, Chi Ming Chu, Chien Yi Yang, “A Novel IGLC2 Gene Linked With Prognosis of Triple-Negative Breast Cancer,” Frontiers in Oncology, Vol. 11, pp. 759952, Jan. 2022.

  31. Ming-Tse Kuo, Benny Wei-Yun Hsu, Yi-Sheng Lin, Po-Chiung Fang, Hun-Ju Yu, Alexander Chen, Meng-Shan Yu, Vincent S Tseng. “Comparisons of Deep Learning Algorithms for Diagnosing Bacterial Keratitis via External Eye Photographs,” Scientific Reports, Vol. 11(1), pp. 1-10, Dec. 2021.

  32. Yu Huang, Josh Jia-Ching Ying, and Vincent S. Tseng. “Spatio-Attention Embedded Recurrent Neural Network for Air Quality Prediction,” Knowledge-based Systems, Vol. 233, pp. 107416, Dec. 2021.

  33. Min-Yen Hsu, Jeng-Yuan Chiou, Jung-Tzu Liu, Chee-Ming Lee, Ya-Wen Lee, Chien-Chih Chou, Shih-Chang Lo, Edy Kornelius, Yi-Sun Yang, Sung-Yen Chang, Yu-Cheng Liu, Chien-Ning Huang, and Vincent S. Tseng. “Deep Learning for Automated Diabetic Retinopathy Screening Fused with Heterogeneous Data from EHRs Can Lead to Earlier Referral Decisions,” Translational Vision Science & Technology, Vol. 10, No.1, pp. 18-18, Aug. 2021.

  34. Yu Huang, Hui-Ju Wen, Yue Leon Guo, Tzu-Yin Wei, Wei-Cheng Wang, Shin-Fen Tsai, Vincent S. Tseng, and Shu-Li Julie Wang, “Prenatal Exposure to Air Pollutants and Childhood Atopic Dermatitis and Allergic Rhinitis Adopting Machine Learning Approaches: 14-year Follow-up Birth Cohort Study.” Science of The Total Environment, Vol. 777, pp. 145982, Jul. 2021.

  35. Hao Dai, Hsin-Ginn Hwang, and Vincent S. Tseng. “Convolutional Neural Network based Automatic Screening Tool for Cardiovascular Diseases using Different Intervals of ECG Signals,” Computer Methods and Programs in Biomedicine, Vol. 203, pp. 106035, May 2021.

  36. Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Vincent S. Tseng, Philip S. Yu, “A Survey of Utility-Oriented Pattern Mining,” IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 33, No. 4, pp. 1306-1327, Apr. 2021.

  37. Hsin‐Wei Huang, Benny Wei‐Yun Hsu, Chih‐Hung Lee, and Vincent S. Tseng, “Development of a Light‐weight Deep Learning Model for Cloud Applications and Remote Diagnosis of Skin Cancers,” The Journal of Dermatology, Vol. 48, No. 3, pp. 310-316, Mar. 2021.

  38. Hsuan-Yu Chen, Benny Wei-Yun Hsu, Yu-Kai Yin, Feng-Huei Lin, Tsung-Han Yang, Rong-Sen Yang, Chih-Kuo Lee, and Vincent S. Tseng, “Application of Deep Learning Algorithm to Detect and Visualize Vertebral Fractures on Plain Frontal Radiographs,” Plos one, Vol. 16, No. 1, pp. e0245992, Jan. 2021.

  39. Yu Huang, Josh Jia-Ching Ying, Philip S. Yu, Vincent S. Tseng, “Dynamic Graph Mining for Multi-weight Multi-destination Route Planning with Deadlines Constraints,” ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 15, No. 1, pp. 1-32, Dec. 2020.

  40. Li-Ming Tseng, Vincent S. Tseng, “Predicting Ventricular Fibrillation Through Deep Learning,” IEEE Access, Vol. 8, pp.221886-221896, Dec. 2020.

  41. Vincent S. Tseng, Josh Jia-Ching Ying, Stephen T. C. Wong, Diane J. Cook, Jiming Liu, “Computational Intelligence Techniques for Combating COVID-19: A Survey,” IEEE Computational Intelligence Magazine, Vol. 15, No. 4, pp. 10-22, Oct. 2020.

  42. Ming-Tse Kuo, Benny Wei-Yun Hsu, Yu-Kai Yin, Po-Chiung Fang, Hung-Yin Lai, Alexander Chen, Meng-Shan Yu & Vincent S. Tseng, “A Deep Learning Approach in Diagnosing Fungal Keratitis Based on Corneal Photographs,” Scientific Reports, Vol. 10, No. 1, pp. 1-8, Sept. 2020.

  43. Vincent S. Tseng, Ching-Long Chen, Chang-Min Liang, Ming-Cheng Tai, Jung-Tzu Liu, Po-Yi Wu, Ming-Shan Teng, Ya-Wen Lee, Teng-Yi Huang, “Leveraging Multimodal Deep Learning Architecture with Retina Lesion Information to Detect Diabetic Retinopathy,” Translational Vision Science & Technology, Vol. 9, No. 2, pp. 41-41, Jul. 2020.

  44. Huy M. Huynh, Loan T. T. Nguyen, Bay Vo, Anh Nguyen, Vincent S. Tseng, “Efficient Methods for Mining Weighted Clickstream Patterns,” Expert Systems with Applications, Vol. 142, pp. 112993, Mar. 2020.

  45. Ja-Hwung Su, Chu-Yu Chin, Yi-Wen Liao, Hsiao-Chuan Yang, Vincent S. Tseng, Sun-Yuan Hsieh, “A Personalized Music Recommender System Using User Contents, Music Contents and Preference Ratings,” Vietnam Journal of Computer Science, Vol. 7, No. 1, pp. 77-92, Feb. 2020.

  46. Chien-Liang Liu, Bin Xiao, Wen-Hoar Hsaio, and Vincent S. Tseng, “Epileptic Seizure Prediction with Multi-View Convolutional Neural Networks,” IEEE ACCESS, Vol. 7, pp. 170352-170361, 2019.

  47. Ja-Hwung Su, Chu-Yu Chin, Jyun-Yu Li, Vincent S. Tseng, “Parallel Big Image Data Retrieval by Conceptualised Clustering and Un-conceptualised Clustering,” International Journal of High Performance Computing and Networking, Vol 15, No. 1-2, pp. 22-30, 2019.

  48. Loan T. T. Nguyen, Phuc Nguyen, Trinh D. D. Nguyen, Bay Vo, Philippe Fournier-Viger, Vincent S. Tseng, “Mining High-utility Itemsets in Dynamic Profit Databases,” Knowledge-Based Systems, Vol. 175, pp. 130-144, 2019.

  49. Wei-Yun Hsu, Hui-Huang Hsu, Vincent S. Tseng, “Discovering Negative Comments by Sentiment Analysis on Web Forum,” World Wide Web, Vol. 22, No. 3, pp.1297-1311, 2019.

  50. Chu-Yu Chin, Sun-Yuan Hsieh, Vincent S. Tseng, “eDRAM: Effective Early Disease Risk Assessment with Matrix Factorization on a Large-scale Medical Database: A Case Study on Rheumatoid Arthritis,” PloS one, Vol. 13, No.11, pp. e0207579, Nov. 2018.

  51. Peng-Jen Chen, Meng-Chiung Lin, Mei-Ju Lai, Jung-Chun Lin, Henry Horng-Shing Lu, Vincent S. Tseng, “Accurate Classification of Diminutive Colorectal Polyps Using Computer-aided Analysis,” Gastroenterology, Vol. 154, No. 3, 2018. (IF:20.773, Rank: 1/80).

  52. Josh Jia-Ching Ying, Ji Zhang, Che-Wei Huang, Kuan-Ta Chen, Vincent S. Tseng: FrauDetector+: “An Incremental Graph-Mining Approach for Efficient Fraudulent Phone Call Detection,” ACM Transactions on Knowledge Discovery from Data, Vol. 12, No. 6, 68:1-68:35, Aug. 2018.

  53. Wen-Chun Liu, I-Chin Wu, Yen-Chien Lee, Chih-Peng Lin, Ji-Hong Cheng, Yih-Jyh Lin, Chia-Jui Yen, Pin-Nan Cheng, Pei-Fu Li, Yi-Ting Cheng, Pei-Wen Cheng, Koun-Tem Sun, Shu-Ling Yan, Jia-Jhen Lin, Jui-Chu Yang, K-C Chang, Chenghsun Ho, Vincent S. Tseng, Bill Chia-Han Chang, Jaw-Ching Wu, Ting-Tsung Chang, “Hepatocellular Carcinoma-associated Single-nucleotide Variants and Deletions Identified by the Use of Genome-wide High-throughput Analysis of Hepatitis B Virus,” Journal of Pathology, Vol. 243, Issue 2, No. 2, pp. 176-192, 2017. (IF:6.894, Rank: 3/79)

  54. Souleymane Zida, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Cheng-Wei Wu, and Vincent S. Tseng, “EFIM: A Fast and Memory Efficient Algorithm for High-Utility Itemset Mining,” Knowledge and Information Systems (KAIS) Vol. 51, No. 2, pp. 595-625, 2017.

  55. Eric Hsueh-Chan Lu, Huan-Sheng Chen, and Vincent S. Tseng, "An Efficient Framework for Multirequest Route Planning in Urban Environments," IEEE Transactions on Intelligent Transportation Systems (ITITS), Vol. 18, Issue 4, pp. 869-879, Apr. 2017. (IF: 2.534, Rank: 8/126)

  56. Yi-Ting Cheng, Yu-Feng Lin, Kuo-Hwa Chiang, and Vincent S. Tseng, "Mining Sequential Risk Patterns from Large-Scale Clinical Databases for Early Assessment of Chronic Diseases: A Case Study on Chronic Obstructive Pulmonary Disease," IEEE Journal of Biomedical and Health Informatics, Vol. 21, Issue 2, pp. 303-311, Mar. 2017. (IF: 2.093, Rank: 29/144)

  57. Eric Hsueh-Chan Lu, Shih Hsin Fang, and Vincent S. Tseng, "Integrating Tourist Packages and Tourist Attractions for Personalized Trip Planning based on Travel Constraints," GeoInformatica, Vol. 20, Issue 4, pp. 741-763, Oct. 2016. (IF: 1.061, Rank: 82/144)

  58. Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, and Vincent S. Tseng, "Efficiently Mining Uncertain High-utility Itemsets," Soft Computing, pp. 1-20, May 2016. (IF: 1.630, Rank: 56/130)

  59. Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, and Vincent S. Tseng, "Fast Algorithms for Mining High-utility Itemsets with Various Discount Strategies," Advanced Engineering Informatics, Vol. 30, Issue 2, pp. 109-126, Apr. 2016. (IF: 2.000, Rank: 39/130)

  60. Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, and Tzung-Pei Hong, Vincent S. Tseng, "Efficient Algorithms for Mining High-Utility Itemsets in Uncertain Databases," Knowledge-Based Systems, Vol. 96, pp. 171-187, Mar. 2016. (IF: 3.325, Rank: 17/130)

  61. Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, and Vincent S. Tseng, "Weighted Frequent Itemset Mining over Uncertain Databases," Applied Intelligence, Vol. 44, Issue 1, pp. 232-250, Jan. 2016. (IF: 1.215, Rank: 72/130)

  62. Vincent S. Tseng, Cheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu, “Efficient Algorithms for Mining Top-K High Utility Itemsets,” IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 28, Issue 1, pp. 54-67, 2016. (IF=2.067, 21/139 COMPUTER SCIENCE, INFORMATION SYSTEMS)

  63. Chun-Hao Chen, Vincent S. Tseng, Hsieh-Hui Yu, Tzung-Pei Hong, and Neil Y. Yen, "A GA-based Approach for Finding Appropriate Granularity Levels of Patterns from Time Series," International Journal of Web and Grid Services (IJWGS), Vol. 12, Issue 3 pp. 217-239, 2016. (IF: 1.229, Rank: 69/144)

  64. Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, Vincent S. Tseng, Yonglong Luo, and Fulong Chen, "An Intelligent Recommender System based on Predictive Analysis in Telehealthcare Environment," Web Intelligence, Vol. 14, No. 4, pp. 325-336, 2016.

  65. Chun-Hao Chen, Tzung-Pei Hong, Yeong-Chyi Lee, and Vincent S. Tseng, "Finding Active Membership Functions for Genetic-Fuzzy Data Mining," International Journal of Information Technology and Decision Making, Vol. 14, Issue 6, pp. 1215-1242, Nov. 2015. (IF: 1.183, Rank: 75/130)

  66. Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng, Longbing Cao and Roger Nkambou, “Mining Partially-Ordered Sequential Rules Common to Multiple Sequences,” IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 27, Issue 8, pp. 2203-2216, Aug. 2015. (IF=2.067, 21/139 COMPUTER SCIENCE, INFORMATION SYSTEMS)

  67. Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, and Vincent S. Tseng, "Efficient Algorithms for Mining Up-to-date High-utility Patterns," Advanced Engineering Informatics, Vol. 29, Issue 3, pp. 648-661, Aug. 2015. (IF: 2.000, Rank: 39/130)

  68. Wen-Chun Liu, Chih-Peng Lin, Chun-Pei Cheng, Cheng-Hsun Ho, Kuo-Lun Lan, Ji-Hong Cheng, Chia-Jui Yen, Pin-Nan Cheng, I-Chin Wu, Bill Chia-Han Chang, Vincent S. Tseng, Yen-Cheng Chiu, Ting-Tsung Chang, “Aligning to the Sample-specific Reference Sequence to Optimize the Accuracy of Next-generation Sequencing Analysis for Hepatitis B Virus,” Hepatology International, Jul. 2015.

  69. Yu-Feng Lin, Cheng-Wei Wu, Chien-Feng Huang, and Vincent S. Tseng, "Discovering Utility-based Episode Rules in Complex Event Sequences," Expert Systems with Applications (ESWA), Vol. 42, Issue 12, pp. 5303–5314, Jul. 2015. (IF: 2.981, Rank: 19/130)

  70. Chu-Yu Chin, Meng-Yu Weng, Tzu-Chieh Lin, Shyr-Yuan Cheng, Yea-Huei Kao Yang, Vincent S. Tseng. Mining Disease Risk Patterns from Nationwide Clinical Databases for the Assessment of Early Rheumatoid Arthritis Risk. PLOS ONE, Vol. 10, Issue 4, pp. e122508, Apr. 2015. (IF=4.411; Ranking: 12/86)

  71. Vincent S. Tseng, Cheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu, “Efficient Algorithms for Mining the Concise and Lossless Representation of High Utility Itemsets,” IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 27, No. 3, pp. 726-739, Mar. 2015. (IF=2.067, 21/139 COMPUTER SCIENCE, INFORMATION SYSTEMS)

  72. Chao-Lin Liu, Mitsunori Matsushita, Yasufumi Takama, Min-Yuh Day, and Vincent S. Tseng, "Intelligent interaction, reasoning, and applications," Web Intelligence, Vol. 13, No. 2, pp. 91-92, 2015.

  73. Philippe-Fournier-Viger, Antonio Gomariz, Ted Gueniche, Azadeh Soltani, Cheng-Wei Wu and Vincent S. Tseng, “SPMF: a Java Open-Source Pattern Mining Library,” Journal of Machine Learning Research, Vol. 15, pp.3389-3393, Nov. 2014

  74. Yu-Cheng Liu, Lien-Chin Chen, Chi-Wei Liu, and Vincent S. Tseng, “Effective Peak Alignment for Mass Spectrometry Data Analysis Using Two-Phase Clustering Approach,” International Journal of Data Mining and Bioinformatics, Vol 9, No.1, pp.52-66(15), Nov. 2014.  

  75. Philippe-Fournier-Viger, Antonio Gomariz, Ted Gueniche, AzadehSoltani, Cheng-Wei Wu and Vincent S. Tseng, "SPMF: a Java Open-Source Pattern Mining Library," Journal of Machine Learning Research (JMLR), Vol. 15, pp.3389-3393, Nov. 2014.

  76. Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng, and Shyue-Liang Wang, "Applying the maximum utility measure in high utility sequential pattern mining," Expert Systems with Applications (ESWA), Vol. 41, Issue 11, pp. 5071-5081, Sept. 2014.

  77. Josh Jia-Ching Ying, Eric Hsueh-Chan Lu, Wen-Ning Kuo, and Vincent S. Tseng, "Mining User Check-in Behavior with a Random Walk for Urban Point-of-interest Recommendations," ACM Transactions on Intelligent Systems and Technology (TIST), Vol. 5, Issue 3, Sept. 2014.

  78. Chun-Pei Cheng, I-Ying Kuo, HakanAlakus, Kelly A. Frazer, Olivier Harismendy, Yi-Ching Wang, and Vincent S. Tseng, "Network-based Analysis Identifies Epigenetic Biomarkers of Esophageal Squamous Cell Carcinoma Progression," Bioinformatics, btu433, Jul. 2014.

  79. Chun-Pei Cheng, Christopher DeBoever, Kelly A. Frazer, Yu-Cheng Liu and Vincent S. Tseng, "MiningABs: mining associated biomarkers across multi-connected gene expression datasets," BMC Bioinformatics, Vol. 15(1):173, Jun. 2014.

  80. Guo-Cheng Lan, Tzung-Pei Hong, Jen-Peng Huang, and Vincent S. Tseng, "On-shelf utility mining with negative item values," Expert Systems with Applications (ESWA), Vol. 41, Issue 7, pp. 3450-3459, Jun. 2014.

  81. Yu-Feng Lin, Hsin-Han Shie, Yi-Ching Yang, and Vincent S. Tseng, "Design of a Real-Time and Continua-based Framework for Care Guideline Recommendation," International Journal of Environmental Research and Public Health (IJERPH), Vol. 11, No. 4, pp. 4262-4279, Apr. 2014.

  82. Yu-Feng Lin, Chien-Feng Huang and Vincent S. Tseng, "A Novel Episode Mining Methodology for Stock Investment," Journal of Information Science and Engineering (JISE), Vol. 30, No. 3, pp. 571-585, Apr. 2014.  

  83. Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng, "An Efficient Projection-based Indexing Approach for Mining High Utility Itemsets," Knowledge and Information Systems (KAIS), Vol. 38, Issue 1, pp.85-107, Jan. 2014.

  84. Andy C. Yang, Hui-Huang Hsu, Ming-Da Lu, Vincent S. Tseng, and Timothy K. Shih, "Prediction of Regulatory Gene Pairs Using Dynamic Time Warping and Gene Ontology," International Journal of Data Mining and Bioinformatics, Vol. 10, Issue 2, pp. 121-145, 2014.

  85. Josh Jia-Ching Ying, Wang-Chien Lee and Vincent S. Tseng, “Mining Geographic-Temporal-Semantic Patterns in Trajectories for Location Prediction,” ACM Transactions on Intelligent Systems and Technology (TIST), Vol. 5, No. 2, Dec. 2013. (IF=9.39, 1/121, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)

  86. Chun-Hao Chen, Vincent S. Tseng, Hsieh-Hui Yu, Tzung-Pei Hong, "Time series pattern discovery by a PIP-based evolutionary approach," Soft Computing, Vol. 17, No. 9, pp. 1699-1710, Sept. 2013.

  87. Chun-Pei Cheng, Yu-Cheng Liu, Yi-Lin Tsai and Vincent S. Tseng, "An efficient method for mining cross-timepoint gene regulation sequential patterns from time course gene expression datasets," BMC Bioinformatics, Vol. 14: S3, Sept. 2013.

  88. Vincent S. Tseng, Bai-EnShie, Cheng-Wei Wu, and Philip S. Yu, "Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases," IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 25, No. 8, pp.1772-1786, Aug. 2013.

  89. Ming-Hua Hsieh, KawuuWeicheng Lin, and Vincent S. Tseng, "A hybrid scheme for energy-efficient object tracking in sensor networks," Knowledge and Information Systems (KAIS), Vol. 36, No. 2, pp. 359-384, Aug. 2013.

  90. Yu-Cheng Liu, Chun-Pei Cheng and Vincent S. Tseng, "Mining differential top-k co-expression patterns from time course comparative gene expression datasets," BMC Bioinformatics, Vol. 14:230, Jul. 2013.

  91. Bai-En Shie, Philip S. Yu and Vincent S. Tseng, "Mining interesting user behavior patterns in mobile commerce environments," Applied Intelligence, Vol. 38, Issue 3, pp. 418-435, Apr. 2013.

  92. Jess Soo-Fong Tan, Eric Hsueh-Chan Lu, and Vincent S. Tseng, "Preference-Oriented Mining Techniques for Location-Based Store Search," Knowledge and Information Systems (KAIS), Vol. 34, Issue 1, pp. 147-169, Jan. 2013.

  93. Bai-EnShie, Philip S. Yu and Vincent S. Tseng, "Efficient Algorithms for Mining Maximal High Utility Itemsets from Data Streams with Different Models," Expert Systems with Applications (ESWA), Vol. 39, No. 17, pp.12947-12960, Dec. 2012. 

  94. Guo-Cheng Lan, Tzung-Pei Hong, and Vincent S. Tseng, "Efficiently Mining High Average-Utility Itemsets with an Improved Upper-Bound Strategy," International Journal of Information Technology and Decision Making, Vol. 11, No. 5, pp. 1009-1030, Sept. 2012.   

  95. Guo-Cheng Lan, Tzung-Pei Hong and Vincent S. Tseng, "An Efficient Gradual Pruning Technique for Utility Mining," International Journal of Innovative Computing Information and Control (IJICIC), Vol. 8, No. 7, pp. 5165-5178, Jul. 2012.   

  96. Eric Hsueh-Chan Lu, Wang-Chien Lee, and Vincent S. Tseng, "A Framework for Personal Mobile Commerce Pattern Mining and Prediction," IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 24, No.5, pp. 769-782, May 2012. 

  97. Bai-EnShie, Hui-Fang Hsiao and Vincent S. Tseng, "Efficient Algorithms for Discovering High Utility User Behavior Patterns in Mobile Commerce Environments," Knowledge and Information Systems (KAIS), Vol. 37, Issue.5, pp. 363-387, Mar. 2012. 

  98. Chun-Pei Cheng, Pei-Fen Lee, Wen-Chun Liu, I-Chin Wu, Chu-Yu Chin, Ting-Tsung Chang, and Vincent S. Tseng, "Analysis of Precore/core Covariances Associated with Viral Kinetics and Genotypes in Hepatitis B e Antigen-positive Chronic Hepatitis B Patients," PLoS ONE, Vol. 7, Issue. 2, pp. e32553, Feb. 2012. 

  99. Chun-Hao Chen, Tzung-Pei Hong, and Vincent S. Tseng, "Fuzzy data mining for time-series data," Applied Soft Computing, Vol. 12, No. 1, pp. 536-542, Jan. 2012.

  100. Yu-Cheng Liu, Chun-Pei Cheng, and Vincent S. Tseng, "Discovering Relational-Based Association Rules with Multiple Minimum Supports on Microarray Datasets," Bioinformatics, Vol. 27, No. 22, pp. 3142-3148, Nov. 2011. 

  101. Eric Hsueh-Chan Lu, Wang-Chien Lee, and Vincent S. Tseng, "Mining Fastest Path from Trajectories with Multiple Destinations in Road Networks," Knowledge and Information Systems (KAIS), Vol. 29, No. 1, pp. 25-53, Oct. 2011. 

  102. Yu-Cheng Liu, J. W. Shin, and Vincent S. Tseng, "Discovering Indirect Gene Associations by Filtering-Based Indirect Association Rule Mining," International Journal of Innovative Computing Information and Control (IJICIC), Vol. 7, No. 10, pp. 6041-6054, Oct. 2011.

  103. Chao-Hui Lee and Vincent S. Tseng, "An Effective Rule-Based Classifier on Multivariate Temporal Data Classification," International Journal of Innovative Computing Information and Control (IJICIC), Vol. 7, No. 8, pp. 25-32, Aug. 2011. 

  104. Vincent S. Tseng and H. H. Hu, "Microarray data classification by multi-information based gene scoring integrated with Gene Ontology," International Journal of Data Mining and Bioinformatics, Vol. 5, No. 4, pp. 402-416, Jul. 2011.

  105. Eric Hsueh-Chan Lu, Vincent S. Tseng, and Philip S. Yu, "Mining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based Service Environments," IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 23, Issue 6, pp. 914-927, Jun. 2011. 

  106. Lien-Chin Chen, Chun-Hao Chen, Hsiao-Ming Chen, and Vincent S. Tseng, "Hybrid Data Mining Approaches for Prevention of Drug Dispensing Errors," Journal of Intelligent Information Systems, Vol. 36, Issue 3, pp. 305-327, Jun. 2011.

  107. Ja-Hwung Su, Chien-Li Chou, Ching-Yung Lin and Vincent. S. Tseng, "Effective Semantic Annotation by Image-to-Concept Distribution Model," IEEE Transactions on Multimedia (TMM), Vol. 13, No. 3, pp. 530-538, Jun. 2011.

  108. Lin CC, Chen LC, Tseng VS, Yan JJ, Lai WW, Su WP, Lin CH, Huang CY, and Su WC, "Malignant pleural effusion cells show aberrant glucose metabolism gene expression," EUROPEAN RESPIRATORY JOURNAL, Vol. 37, Issue 6, pp. 1453-1465, Jun. 2011.

  109. Guo-Cheng Lan, Tzung-Pei Hong and Vincent S. Tseng, "Discovery of High Utility Itemsets from On-shelf Time Periods of Products," Expert Systems with Applications (ESWA), Vol. 38, Issue 5, pp. 5851-5857, May 2011.

  110. Chen-Yun Yeh, Shin-Mei Shin, Hsuan-Heng Yeh, Tsung-Jung Wu, Jyh-Wei Shin, Tsuey-Yu Chang, Giri Raghavaraju, Chung-Ta Lee, Jung-Hsien Chiang, Vincent S Tseng, Yuan-Chii G Lee, Cheng-Huang Shen, Nan-Haw Chow, and Hsiao-Sheng Liu, "Transcriptional activation of the Axl and PDGFR-alpha by c-Met through a ras- and Src-independent mechanism in human bladder cancer," BMC Cancer, Vol. 11, Article Number: 139, Apr. 2011.

  111. Ja-Hwung Su, Wei-Jyun Huang, Vincent S. Tseng and Philip S. Yu, "Efficient Relevance Feedback for Content-based Image Retrieval by Mining User Navigation Patterns," IEEE Transactions on Knowledge and Data Engineering(TKDE), Vol. 23, No. 3, pp. 360-372, Mar. 2011.

  112. Guo-Cheng Lan, Tzung-Pei Hong and Vincent S. Tseng, "Reducing Database Scans for On-Shelf Utility Mining," IETE TECHNICAL REVIEW, Special Issue in Advances on Soft Computing: Theory and Application, Vol. 28, Issue 2, pp. 103-112, Mar. 2011. 

  113. Lien-Chin Chen, Philip S. Yu, and Vincent S. Tseng, "WF-MSB: A Weighted Fuzzy-based Biclustering Method for Gene Expression Data," International Journal of Data Mining and Bioinformatics, Vol. 5, Issue 1, pp. 89-109, Feb. 2011.

  114. Vincent S. Tseng, Ming-Hua Hsieh, and Kawuu W. Lin, "A Novel Cache Replacement Algorithm for Cooperative Caching in Wireless Multimedia Sensor Networks," International Journal of Innovative Computing Information and Control, Vol. 7, Issue 2, pp. 763-776, Feb. 2011.

  115. Bai-En Shie, Fong-Lin Jang, and Vincent S. Tseng, "An Intelligent and effective mechanism for mental Disorder Treatment by Using Biofeedback Analysis and Web Technologies," International Journal of Software Engineering and Knowledge Engineering, Vol. 21, Issue 1, pp. 55-72, Feb. 2011.

  116. Chao-Hui Lee, Jessie Chia-Yu Chen, and Vincent S. Tseng, "A Novel Data Mining Mechanism Considering Bio-signal and Environmental Data with Applications on Asthma Monitoring," Computer Methods and Programs in Biomedicine, Vol. 101, Issue 1, pp.44-61, Jan. 2011. 

  117. Guo-Cheng Lan, Tzung-Pei Hong and Vincent S. Tseng, "A Projection-based Approach for Discovering High Average-Utility Itemsets," Journal of Information Science and Engineering (JISE), Vol. 28, No. 1, pp. 193-209, 2011.

  118. Cheng-Ping Lai, Pau-Choo Chung, and Vincent S. Tseng,"A Novel Algorithm for Mining Fuzzy High Utility Itemsets," International Journal of Innovative Computing Information and Control, Vol. 6, No. 10, pp. 4347-4361, Oct. 2010.

  119. C. P. Lai, Vincent S. Tseng, P. C. Chung, "A Novel Two-Level Clustering Method for Time Series Data Analysis," Expert Systems with Applications (ESWA), Vol.37, Issue. 9, pp. 6319-6326, Sept. 2010.

  120. Cheng-Che Lu, Vincent S. Tseng, "A Novel Method for Music Retrieval by Integrating Content-Based and Emotion-Based Features," International Journal of Innovative Computing Information and Control, Vol. 6, Issue. 2, pp. 4077-4091, Sept. 2010.

  121. Hsin-Yi Wu, Vincent S. Tseng, Lien-Chin Chen, Hui-Yin Chang, I-Chi Chuang, Yeou-Guang Tsay, Pao-Chi Liao, "Identification of Tyrosine-Phosphorylated Proteins Associated with Lung Cancer Metastasis using Label-Free Quantitative Analyses," Journal of Proteome Research, Vol. 9, Issue. 8, pp. 4102-4112, Aug. 2010.

  122. Ja-Hwung Su, Yu-Ting Huang, Hsin-Ho Yeh and Vincent. S. Tseng, "Effective content-based video retrieval using pattern-indexing and matching techniques," Expert Systems with Applications (ESWA), vol. 37, Issue 7, pp. 5068-5085, Jul. 2010.

  123. Ja-Hwung Su, Bo-Wen Wang, Tien-Yu Hsu, Chien-Li Chou and Vincent. S. Tseng, "Multi-Modal Image Retrieval by Integrating Web Image Annotation, Concept Matching and Fuzzy Ranking Techniques," International Journal of Fuzzy Systems, Vol. 12, No. 2, pp. 136-149, Jun. 2010.

  124. Kawuu Lin, Ming-Hua Hsieh, and Vincent S Tseng, "A Novel Prediction-based Strategy for Object Tracking in Sensor Networks by Mining Seamless Temporal Movement Patterns," Expert Systems with Applications (ESWA), Vol. 37, No. 4, pp. 2799-2807, Apr. 2010.

  125. L.C. Lin, H.Y. Wu, Vincent Shin-Mu Tseng, Lien-Chin Chen, Y.C. Chang, and P.C. Liao, "A statistical procedure to selectively detect metabolite signals in LC-MS data based on using variable isotope ratios," Journal of the American Society for Mass Spectrometry, Vol. 21, Issue 2, pp. 232-241, Feb. 2010.

  126. Ja-Hwung Su, Hsin-Ho Yeh, Philip S. Yu, and Vincent S. Tseng, "Music Recommendation Using Content and Context Information Mining," IEEE Intelligent Systems, Vol. 25, No. 1, pp. 16-26, Feb. 2010. 

  127. Ja-Hwung Su, Bo-Wen Wang, Chin-Yuan Hsiao, and Vincent S. Tseng, "Personalized rough-set-based recommendation by integrating multiple contents and collaborative information," Information Sciences, Vol.180, pp. 113-131, Jan. 2010. 

  128. Bai-En Shie, Fong-Lin Jang, and Vincent S. Tseng, "Intelligent panic disorder treatment by using biofeedback analysis and web technologies," International Journal of Business Intelligence and Data Mining, Vol. 5, No. 1, pp. 77-93, 2010. 

  129. Guo-Cheng Lan, Tzung-Pei Hong, and Vincent S. Tseng, "A Three-Scan Algorithm to Mine High Utility Itemsets from On-shelf Time Periods of Products," Lecture Notes in Computer Science, LNCS 5990, pp. 351-358, 2010.

  130. Cheng-Che Lu and Vincent S. Tseng, "A Novel Approach for Music Classification by Extracting Score Features," International Journal of Innovative Computing Information and Control, Vol. 5, No. 12, pp. 4725-4735, Dec. 2009.

  131. Vincent S. Tseng, C. H. Chen, P. C. Huang, and T. P. Hong, "Cluster-based genetic segmentation of time series with DWT," Pattern Recognition Letters, Vol. 30 Issue. 13 pp. 1190-1197, Oct. 2009.

  132. Wu, H.-Y., Tseng, V. S., Chen, L.-C., Chang, Y.-C., Ping, P., Liao, C.-C., Tsay, Y.-G., Yu, J.-S., Liao, P.-C, "Combining Alkaline Phosphatase Treatment and Hybrid Linear Ion Trap/Orbitrap High Mass Accuracy Liquid Chromatography-Mass Spectrometry Data for the Efficient and Confident Identification of Protein Phosphorylation," Analytical Chemistry, Vol. 81 Issue. 18 pp. 7778-7787, Sept. 2009.

  133. Hung-Min Sun, Mu-En Wu, M. Jason Hinek, Cheng-Ta Yang, Vincent S. Tseng, "Trading Decryption for Speeding Encryption in Rebalanced- RSA," Journal of Systems and Software, Vol. 82, Issue. 9, pp. 1503-1512, Sept. 2009.

  134. Vincent S. Tseng, H. H. Yu and S. C. Yang, "Efficient Mining of Multilevel Gene Association Rules from Microarray and Gene Ontology," Information Systems Frontiers, Vol. 11, Issue. 4, pp. 433-447, Sept. 2009.

  135. C. J. Chu, Vincent S. Tseng, and Tyne Liang, "An Efficient Algorithm for Mining High Utility Itemsets with Negative Item Values in Large Databases," Applied Mathematics and Computation, Vol. 215, Issue. 2, pp. 767-778, Sept. 2009.

  136. Cheng-Che Lu and Vincent S. Tseng, "A Novel Method for Personalized Music Recommendation," Expert Systems with Applications (ESWA), Vol. 36, Issue 6, pp. 10035-10044, Aug. 2009.

  137. Chun-Hao Chen, Tzung-Pei Hong, and Vincent S. Tseng, "An Improved Approach to Find Membership Functions and Multiple Minimum Supports in Fuzzy Data Mining," Expert Systems with Applications (ESWA), Vol. 36, No. 6, pp. 10016-10024, Aug. 2009.

  138. Vincent S. Tseng and Chao-Hui Lee, "Effective Temporal Data Classification by Integrating Sequential Pattern Mining and Probabilistic Induction," Expert Systems with Applications (ESWA), Vol. 36, Issue 5, pp. 9524-9532, Jul. 2009.

  139. Vincent S. Tseng and Eric Hsueh-Chan Lu, "Energy-efficient real-time object tracking in multi-level sensor networks by mining and predicting movement patterns," Journal of Systems and Software (JSS), Volume 82, Issue 4, pp. 697-706, Apr. 2009.

  140. C. H. Chen, T. P. Hong, Vincent S. Tseng and C. S. Lee, "A genetic-fuzzy mining approach for items with multiple minimum supports," Soft Computing, Vol. 13, No. 5, pp. 521-533, Mar. 2009.

  141. C. H. Chen, T. P. Hong and Vincent S. Tseng, "Mining fuzzy frequent trends from time series," Expert Systems with Applications (ESWA), Vol. 36, Issue 2, Part 2, pp. 4147-4153, Mar. 2009.

  142. C. J. Chu, Vincent S. Tseng, Tyne Liang,"Mining Temporal Rare Utility Itemsets in Large Databases Using Relative Utility Thresholds," International Journal of Innovative Computing Information and Control (IJICIC), Vol. 4, No. 11, pp. 2775-2792, Nov. 2008.

  143. Chun-Jung Chu, Vincent S. Tseng and Tyne Liang, "An Efficient Algorithm for Mining Temporal High Utility Itemsets from Data Streams," Journal of Systems and Software, Vol. 81, Issue 7, pp. 1105-1117, Jul. 2008. 

  144. Vincent S. Tseng, Ja-Hwung Su, Jhih-Hong Huang, and Chih-Jen Chen,"Integrated mining of visual features, speech features, and frequent patterns for semantic video annotation," IEEE Transactions on Multimedia, Vol. 10, Issue 2, pp. 260-267, Feb. 2008.

  145. C. H. Chen, Vincent S. Tseng, and T. P. Hong, "Cluster-based evaluation in fuzzy-genetic data mining," IEEE Transactions on Fuzzy Systems, Vol. 16, Issue 1, pp. 249-262, Feb. 2008.

  146. Vincent S. Tseng, K. W. Lin, J. C. Chang, "Prediction of User Navigation Patterns by Mining the Temporal Web Usage Evolution," Soft Computing, vol. 12, no. 2, pp. 157-163, Jan. 2008.

  147. C. H. Chen, T. P. Hong and Vincent S. Tseng, "A cluster-based genetic-fuzzy mining approach for items with multiple minimum supports," Lecture Notes in Computer Science, Vol. 5012/2008, pp. 864-869, 2008.

  148. Vincent S. Tseng and C. P. Kao, "A novel similarity-based fuzzy clustering algorithm by integrating PCM and mountain method," IEEE Transactions on Fuzzy Systems, Vol. 15, Issue 6, pp. 1188-1196, Dec. 2007.

  149. Vincent S. Tseng and K. W. Lin, "Energy efficient strategies for object tracking in sensor networks: A data mining approach," Journal of Systems and Software, Vol. 80, Issue 10, pp. 1678-1698, Oct. 2007.

  150. R.-L. Jan, J.-Y. Wang, M.-C. Huang, S. Tseng, H.-J. Su, and L.-F. Liu, "An Internet-Based Interactive Telemonitoring System for Improving Childhood Asthma Outcomes in Taiwan," Telemedicine Journal and e-Health, Vol. 13, No. 3, pp. 257-268, Jun. 2007.

  151. H.-Y. Wu, Vincent S. Tseng, and P.-C. Liao, "Mining Phosphopeptide Signals in Liquid Chromatography-Mass Spectrometry Data for Protein Phosphorylation Analysis," Journal of Proteome Research, vol. 6, pp. 1812-1821, 2007.

  152. Vincent S. Tseng and K. W. Lin, "Efficient Mining and Prediction of User Behavior Patterns in Mobile Web Systems," Information and Software Technology, Vol. 48, No. 6, pp. 357-369, Jun. 2006.

  153. J. H. Chuang, Y. H. Huang, H. H. Yu and Vincent S. Tseng, "Liver Hepcidin and Stainable Iron Expression in Biliary Atresia," Pediatric Research, Vol. 59, No. 5, pp. 662-666, May 2006.

  154. Vincent S. Tseng, Y. H. Chen, C. H. Chen, J. W. Shin, "Mining Fuzzy Association Patterns in Gene Expression Databases," International Journal of Fuzzy Systems, Vol. 8, No. 2, pp. 1-7, 2006.

  155. H. H. Yu, Vincent S. Tseng, and J. H. Chuang, "A multi-information based gene scoring method for analysis of gene expression data," LNCS Transactions on Computational Systems Biology, Vol. 4070, pp.97-111, 2006.

  156. Vincent S. Tseng and Ching-Ping Kao, "Efficiently Mining Gene Expression Data via a Novel Parameterless Clustering Method," IEEE-ACM Transactions on Computational Biology and Bioinformatics, Vol. 2, No. 4, pp. 355-365, Oct. 2005.

  157. Hung-Min Sun, B. T. Hsieh, and S. Tseng, "On the Security of Some Proxy Blind Signature Schemes," Journal of Systems and Software, Vol. 74, No. 3, pp. 297-302, Feb. 2005.

  158. S. M. Tseng and C. F. Chiu, "Mining Multilevel and Location-Aware Associated Service Patterns in Mobile Environments," IEEE Transactions on Systems, Man and Cybernetics - Part B, Vol. 34, No. 6, pp. 2480-2485, Dec. 2004.

  159. Vincent S. Tseng, L. C. Chen and J. J. Liu, "Design of an Integrated and Effective Platform for Gene Expression Data Mining," Journal of Library and Information Science, Vol. 30, No. 2, pp.20-33, Oct. 2004.

  160. Vincent S. Tseng and Ching-Ping Kao, "An Efficient Approach to Identifying and Validating Clusters in Multivariate Datasets with Applications in Gene Expression Analysis," JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, Vol. 20, No. 4, pp. 665-677, Jul. 2004.

  161. I-Heng Meng, S. Tseng and Wei-Pang Yang, "Integrated Business Agents for Processing Free Text Information," Journal of Information Science and Engineering, Vol. 20, No. 2, pp. 325-347, Mar. 2004.

  162. Chien-I Lee, Yu-Chiang Li, and S. Tseng, "An Efficient Approach for Partial-Sum Queries in Data Cubes Using Hamming-Based Codes," Springer-Verlag Lecture Notes in Computer Science, Vol. 2973, pp. 457-468, 2004.

  163. Vincent S. Tseng and Ching-Ping Kao, "A Novel Parameter-less Clustering Method for Mining Gene Expression Data," Springer-Verlag Lecture Notes in Artificial Intelligence, Vol. 3056, pp. 692-698, 2004.

  164. H. T. Yeh, H. M. Sun, H. T. Yang, B. C. Chen and S. Tseng, "Improvement of Password Authenticated Key Exchange Based on RSA for Imbalanced Wireless Networks," IEICE Transactions on Communications, Vol. E86-B, No. 11, pp. 3278-3282, Nov. 2003.

  165. S. Tseng and Ching-Ping Kao, "Mining and Validating Gene Expression Data," Communications of IICM, 2003.

  166. S. Tseng, K. H. Wang and C. I. Lee, "A Pre-processing Method to Deal with Missing Values by Integrating Clustering and Regression Techniques," Applied Artificial Intelligence, Vol. 17, No. 5, pp. 535-544, 2003.

  167. S. Tseng and Ching-Ping Kao, "Mining and Validation Gene Expression Patterns: An integrated approach and applications," Informatica, Vol. 27, no. 1, pp. 21-27, 2003.

  168. S. Tseng and C. P. Kao, "Efficiently Mining Gene Expression Data via Integrated Clustering and Validation Techniques," Springer-Verlag Lecture Notes on Artificial Intelligence, Vol. 2336, pp. 432-437, 2002.

  169. S. Tseng, "Mining Association Rules with Interestingness Constraints in Large Databases," International Journal of Fuzzy Systems, Vol. 3, No. 2, pp. 415-421, Jun. 2001.

  170. S. Tseng, Y. H. Chin, and W. P. Yang,"Value-Based Scheduling for Multiprocessor Real-Time Database Systems, " IEICE Transactions on Information and Systems, Vol. E81-D, No. 1, pp. 137-143, Jan. 1998.

  171. S. Tseng, "Efficient Mining of Association Rules with Item Constraints," Springer-Verlag Lecture Notes in Artificial Intelligence, Vol. 1532, pp. 423-424, 1998.

  172. S. Tseng, Y. H. Chin, and W. P. Yang, "Dynamic Multiprocessor Scheduling for Supporting Real-Time Constraints," Springer-Verlag Lecture Notes in Computer Science, Vol. 1496, pp. 163-173, 1997.

  173. S. Tseng, Y. H. Chin, and W. P. Yang, "Performance Evaluation of a High-Value Scheduling Policy for Real-Time Main Memory Databases," International Journal of Engineering Intelligent Systems, Vol. 4, No. 3, pp. 185-193, 1996.

  174. S. Tseng, Y. H. Chin, and W. P. Yang, "On Using Savepoints for Scheduling Transactions with Values in Real-Time Database Systems," Journal of Computing and Information, Vol. 2, No. 1, pp. 910-931, 1996.

  175. S. M. Tseng and Y. H. Chin, "Prescheduling Policy for Real-Time Concurrency Control: A Performance Evaluation," Journal of Systems Integration, Vol. 3, No. 3, pp. 23-42, 1993.

  1. Conference Papers

  1. Kuan-Hsuan Yung, Josh Jia-Ching Ying, Hui-Ting Lin, Vincent S. Tseng*, “Learning Location Semantics and Dynamics for Traffic Origin-Destination Demand Prediction,” International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024.

  2. Hui-Ting Lin, Hao Dai, Vincent S. Tseng*, ”Periodic Stacked Transformer-Based Framework for Travel Time Prediction,” International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024.

  3. Hui-Ting Lin, Hao Dai, Vincent S. Tseng*, ”DAT: Dual-Aspect Transformer for Travel Time Prediction,” International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan), Taichung, Taiwan, 2024.

  4. Yu-Mei Huang, Hui-Nien Hung, Vincent S. Tseng*, “Privacy-Preserving Attention-Weighted Multi-Source Domain Adaptation for EEG Motor Imagery,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, Korea, 2024.

  5. Chun-Ti Chou, Vincent S. Tseng*, “Self-supervised Pulse-aware and Interpretable Disentangled ECG Representation Learning,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, Korea, April 2024.

  6. Benny Wei-Yun Hsu, Yu-Ming Chen, Vincent S. Tseng*, Yuan-Han Yang, “Predicting Behavioral and Psychological Symptoms of Dementia Based on Machine Learning with Smart Wearable Devices,” in Proc. Joint Conference on Medical Informatics in Taiwan (JCMIT), Taipei, Taiwan, 2023.

  7. Hao Dai, Hsin-Ginn Hwang, Vincent S. Tseng*, “Enhancing Interpretability with Explainable Artificial Intelligence for Sepsis Early Prediction,” in Proc. 18th International Conference on Healthcare Information Management (UHIMA), Hualien, Taiwan, 2023.

  8. Chun-Kai Chen, Chih-Kuo Lee, Benny Wei-Yun Hsu, Yu-Chan Chen, and Vincent S. Tseng*, ‘’Construction of a clinical database to develop artificial intelligence automatic diagnostic/prediction systems for Hypertension,’’ in The Symposium on Engineering, Medicine, and Biology Applications (SEMBA), Taichung, Taiwan, September, 2022. (Oral presentation)

  9. Crystal T. Wei*, Ming-En, Hsieh*, Chien-Liang Liu, and Vincent S. Tseng*, “Contrastive Heartbeats: Contrastive Learning for Self-Supervised ECG Representation and Phenotyping,” in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, May 2022.

  10. Yu Huang, Ju-Hui Tseng, Ching-Jui Hsiao, Hui-Mei Hung and Vincent S. Tseng*, “IPreMom: A Continual Learning-Based Image Rating Framework for Infant Precious Moments Capturing,” in Proc. The 37th ACM/SIGAPP Symposium on Applied Computing (SAC), Virtual, Apr. 2022.

  11. You-Qian Lee, Chen-Kai Wang, Chung-Hong Lee, Vincent S. Tseng, and Hong-Jie Dai, "Data Augmentation for BERT in the Medication Extraction Task of BioCreative VII," in Proc. of the BioCreative VII Challenge Evaluation Workshop, 2021.

  12. Acquah Hackman, Yu Huang, Philippe Fournier-Viger, Vincent S. Tseng, “Stable High Utility Itemset Mining,” in Proc. The 23rd International Conference on Information Integration and Web Intelligence (iiWAS), Virtual, Vienna, Austria, Dec. 2021.

  13. Meng-Chieh Lee, Hung T Nguyen, Dimitris Berberidis, Vincent S Tseng, Leman Akoglu, “GAWD: Graph Anomaly Detection in Weighted Directed Graph Databases,” in Proc. The 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Virtual, Nov. 2021.

  14. Ming-En Hsieh, Vincent S. Tseng, “Boosting Multi-task Learning Through Combination of Task Labels - with Applications in ECG Phenotyping,” in Proc. the AAAI Conference on Artificial Intelligence (AAAI), Virtual, May 2021.

  15. Ji-Hong Cheng, Wen-Chun Liu, Ting-Tsung Chang, Sun-Yuan Hsieh, Vincent S. Tseng, “An Effective and Efficient Algorithm for Detecting Exact Deletion Breakpoints from Viral Next-Generation Sequencing Data,” in Proc. International Computer Symposium (ICS), Tainan, Taiwan, Dec. 2020.

  16. Meng-Chieh Lee, Yue Zhao, Aluna Wang, Pierre Jinghong Liang, Leman Akoglu, Vincent S. Tseng, Christos Faloutsos, “AutoAudit: Mining Accounting and Time-Evolving Graphs,” in Proc. IEEE Big Data, Virtual, Atlanta, USA, Dec. 2020.

  17. Hung-Yang Li, Vincent S. Tseng, Philip S. Yu, “Enhancing Stock Trend Prediction Models by Mining Relational Graphs of Stock Prices,” in Proc. International Conference on Pervasive Artificial Intelligence (ICPAI), Taipei, Taiwan, Dec. 2020. (Best Paper Award)

  18. Yu Huang, Chih-Ling Hsu, Vincent S. Tseng, “PURL: Periodic User Representation Learning from Temporal Event Records for Personalized Health Management,” in Proc. International Conference on Big Data and Smart Computing (BigComp), Busan, South Korea, Feb. 2020.

  19. Acquah Hackman, Yu Huang, Philip S. Yu, Vincent S. Tseng, “Mining Emerging High Utility Itemsets over Streaming Database,” in Proc. The 15th International Conference on Advanced Data Mining and Applications (ADMA), Dalian, China, 2019. (Best Student Paper Runner-Up Award)

  20. Meng-Chieh Lee, Yu Huang, Josh Jia-Ching Ying, Chien Chen, Vincent S. Tseng, “DeepIdentifier: A Deep Learning-Based Lightweight Approach for User Identity Recognition,” in Proc. The 15th International Conference on Advanced Data Mining and Applications (ADMA), Dalian, China, 2019.

  21. Yu-Jhen Chen, Chien-Liang Liu, Vincent S. Tseng, Yu-Feng Hu, Shih-Ann Chen, “Large-scale Classification of 12-lead ECG with Deep Learning,” in Proc. IEEE-EMBS International Conference on Biomedical and Health Informatics, Chicago, IL, USA, 2019.

  22. Yu Huang, Meng-Chieh Lee, Vincent S. Tseng, Ching-Jui Hsiao, Chi-Chiang Huang, “Robust Sensor-based Human Activity Recognition with Snippet Consensus Neural Networks,” in Proc. The 16th IEEE-EMBS International conference on wearable and implantable body sensor networks, Chicago, IL, USA, 2019.

  23. Chia Hua Li, Cheng-Wei Wu, JianTao Huang, Vincent S. Tseng, “An Efficient Algorithm for Mining High Utility Quantitative Itemsets,” in Proc. The 2nd International Workshop on Cross-disciplinary Data Exchange and Collaboration (co-held with IEEE International Conference on Data Mining), Beijing, China, 2019.

  24. En-Yu Hsu, Chien-Liang Liu, Vincent S. Tseng, “Multivariate Time Series Early Classification with Interpretability Using Deep Learning and Attention Mechanism,” in Proc. The 2019 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'19), Macau, China, 2019.

  25. Chun-Han Lin, Cheng-Wei Wu, JianTao Huang, Vincent S. Tseng, “Parallel Mining of Top-k High Utility Itemsets in Spark In-Memory Computing Architecture,” in Proc. The 2019 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'19), Macau, China, 2019.

  26. Chih-Hsin Chou, Yu Huang, Chian-Yun Huang, Vincent S. Tseng, “Long-Term Traffic Time Prediction Using Deep Learning with Integration of Weather Effect,” in Proc. The 2019 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'19), Macau, China, 2019.

  27. Huai-Shuo Huang, Chien-Liang Liu, Vincent S. Tseng, “Multivariate Time Series Early Classification using Multi-Domain Deep Neural Network,” in Proc. IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA), 90-98, Turin, Italy, 2018.

  28. Acquah Hackman, Yu Huang, Vincent S. Tseng, “Mining Trending High Utility Itemsets from Temporal Transaction Databases,” in Proc. International Conference on Database and Expert Systems Applications, 461-470, Regensburg, Germany, 2018.

  29. Mingen Hsieh, Sinya Peng, Vincent S. Tseng, “ObjFind: An Objective Identification Conversational AI Framework Incorporating Multimedia Widgets,” in Proc. International Workshop on Conversional AI (co-held with KDD), London, UK, 2018.

  30. Sinya Peng, Vincent S. Tseng, Che-Wei Liang, Man-Kwan Shan: Emerging Product Topics Prediction in Social Media without Social Structure Information,” in Proc. World Wide Web Conference (Companion Volume), 1661-1668, Lyon, France, 2018.

  31. Ja-Hwung Su, Chu-Yu Chin, Hsiao-Chuan Yang, Vincent S. Tseng, Sun-Yuan Hsieh, “Music Recommendation Based on Information of User Profiles, Music Genres and User Ratings,” in Proc. Asian Conference on Intelligent Information and Database Systems (ACIIDS), 528-538, Dong Hoi, Vietnam, Mar. 2018.

  32. Cheng-Hung Tsai, Cheng-Hao Chu, Sun-Wei Liu, Sun-Yuan Hsieh, Vincent S. Tseng, “Mining Life Patterns from Wearable Sensors Data for Elderly Anomaly Detection,” in Proc. The 2017 Conference on Technologies and Applications of Artificial Intelligence (TAAI), Taiwan.

  33. V. S. Tseng, H. S. Huang, C.W. Huang, and P. F. Wang, C. F. Li, “Early Classification of Multivariate Time Series on Distributed and In-Memory Platforms,” in Proc. the 4th Workshop on Machine Learning for Sensory Data Analytics (MLSDA'2017), South Korea, 2017.

  34. Yu Huang, B. H. Lin, and V. S. Tseng, "Efficient Multi-Destinations Route Planning with Deadlines and Cost Constraints,” in Proc. The 18th IEEE International Conference on Mobile Data Management (MDM), South Korea, 2017.

  35. R. Lafta, J. Zhang, X. Tao, Y Li, F. Chen, Y. Luo and V. S. Tseng, “A Fast Fourier Transform-coupled Machine Learning-based Ensemble Model for Disease Risk Prediction using a Real-life Dataset,” in Proc. The 2017 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'17), South Korea, 2017.

  36. W. Gan, J. C. Lin, P. Fournier-Viger, H. Chao and Vincent S. Tseng, “Mining High-Utility Itemsets with both Positive and Negative Unit Profits from Uncertain Databases,” in Proc. The 2017 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'17), South Korea, 2017.

  37. Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, and Vincent S. Tseng, “IRS-HD: An Intelligent Personalized Recommender System for Heart Disease Patients in a Tele-Health Environment,” in Proc. The 12th International Conference on Advanced Data Mining and Applications (ADMA), 2016.

  38. Yi-Ting Cheng, Yu-Feng Lin, Kuo-Hwa Chiang, and Vincent S. Tseng, “Mining disease sequential risk patterns from nationwide clinical databases for early assessment of chronic obstructive pulmonary disease,” in Proc. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2016.

  39. Yi-Ting Cheng, Yu-Feng Lin, Kuo-Hwa Chiang, and Vincent S. Tseng, “Mining disease sequential risk patterns from nationwide clinical databases for early assessment of chronic obstructive pulmonary disease,” in Proc. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Las Vegas, USA, 2016.

  40. Jerry C. C. Tseng, Jia-Yuan Gu, Ping-Feng Wang, Ching-Yu Chen, Chu-Feng Li, and Vincent S. Tseng, “A scalable complex event analytical system with incremental episode mining over data streams,” in Proc. 2016 IEEE Congress on Evolutionary Computation (CEC), 2016.

  41. Philippe Fournier-Viger, Souleymane Zida, Jerry Chun-Wei Lin, Cheng-Wei Wu, and Vincent S. Tseng, “Efficient closed high-utility itemset mining,” in Proc. The 31st Annual ACM Symposium on Applied Computing (SAC), 2016.

  42. Philippe Fournier-Viger, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng, and Usef Faghihi, “Mining Minimal High-Utility Itemsets,” in Proc. International Conference on Database and Expert Systems Applications (DEXA), 2016.

  43. Josh Jia-Ching Ying, Ji Zhang, Che-Wei Huang, Kuan-Ta Chen, and Vincent S. Tseng, “PFrauDetector: A Parallelized Graph Mining Approach for Efficient Fraudulent Phone Call Detection,” in Proc. 2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS), 2016.

  44. Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, and Vincent S. Tseng, “Efficient Mining of Uncertain Data for High-Utility Itemsets,” in Proc. International Conference on Web-Age Information Management, 2016.

  45. Philippe Fournier-Viger, Souleymane Zida, Jerry Chun-Wei Lin, Cheng-Wei Wu, and Vincent S. Tseng, “EFIM-Closed: Fast and Memory Efficient Discovery of Closed High-Utility Itemsets,” in Proc. The 12th International Conference on Machine Learning and Data Mining (MLDM), 2016.

  46. Souleymane Zida, Philippe Fournier-Viger, Cheng-Wei Wu, Jerry Chun-Wei Lin, and Vincent S. Tseng, “Efficient Mining of High Utility Sequential Rules,” in Proc. The 11th International Conference on Machine Learning and Data Mining (MLDM 2015), Hamburg, Germany, Jul. 20-23, 2015.   

  47. Jerry C.C. Tseng, Jia-Yuan Gu, and Vincent S. Tseng, “A Novel Complex-Events Analytical System Using Episode Pattern Mining Techniques,” in Proc. The 2015 International Conference on Intelligence Science and Big Data Engineering (IScIDE 2015), Suzhou, China, Jun. 14-16, 2015.   

  48. Yu-Feng Lin, Hsuan-Hsu Chen, Vincent S. Tseng, and Jian Pei, “Reliable Early Classification on Multivariate Time Series with Numerical and Categorical Attributes,” in Proc. The 19th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD-15), Ho Chi Minh City, Vietnam, May 19-22, 2015.   

  49. Ying Chun Lin, Cheng-Wei Wu, and Vincent S. Tseng, “Mining High Utility Itemsets in Big Data,” in Proc. The 19th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD-15), Ho Chi Minh City, Vietnam, May 19-22, 2015.

  50. Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, and Vincent S. Tseng, “Mining high-utility itemsets with various discount strategies,” in Proc. IEEE International Conference Data Science and Advanced Analytics (DSAA), 2015.

  51. Vincent S. Tseng, Cheng-Wei Wu, Jun-Han Lin, and Philippe Fournier-Viger, “UP-Miner: A Utility Pattern Mining Toolbox,” in Proc. IEEE 15th International Conference on Data Mining Workshops, 2015.

  52. Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, and Vincent S. Tseng, “Hewin: High expected weighted itemset mining in uncertain databases,” in Proc. International Conference on Machine Learning and Cybernetics (ICMLC), 2015.

  53. Vincent S. Tseng, Jia-Ching Ying, Che-Wei Huang, Yimin Kao, and Kuan-Ta Chen, “FrauDetector: A Graph-Mining-based Framework for Fraudulent Phone Call Detection,” in Proc. The 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015.

  54. Souleymane Zida, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Cheng-Wei Wu, and Vincent S. Tseng, “EFIM: A Highly Efficient Algorithm for High-Utility Itemset Mining,” in Proc. Mexican International Conference on Artificial Intelligence (MICAI), 2015.

  55. Souleymane Zida, Philippe Fournier-Viger, Cheng-Wei Wu, Jerry Chun-Wei Lin, and Vincent S. Tseng, “Efficient Mining of High-Utility Sequential Rules,” in Proc. Machine Learning and Data Mining in Pattern Recognition (MLDM), 2015.

  56. Yu-Feng Lin, Hsuan-Hsu Chen, Vincent S. Tseng, and Jian Pei, “Reliable Early Classification on Multivariate Time Series with Numerical and Categorical Attributes,” in Proc. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2015.

  57. Ted Gueniche, Philippe Fournier-Viger, Rajeev Raman, and Vincent S. Tseng, “CPT+: Decreasing the Time/Space Complexity of the Compact Prediction Tree,” in Proc. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2015.

  58. Ying Chun Lin, Cheng-Wei Wu, and Vincent S. Tseng, “Mining High Utility Itemsets in Big Data,” in Proc. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2015.

  59. Cheng-Wei Wu, Philippe Fournier-Viger, Jia-Yuan Gu, and Vincent S. Tseng, “Mining closed+ high utility itemsets without candidate generation” in Proc. The 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2015.

  60. Jerry C. C. Tseng, Bo-Hau Lin, Yu-Feng Lin, and Vincent S. Tseng, Miin-Luen Day, Shyh-Chyi Wang, Kuen-Rong Lo, and Yi-Ching Yang, “An interactive healthcare system with personalized diet and exercise guideline recommendation,” in Proc. The 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2015.

  61. Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, and Vincent S. Tseng, “An Intelligent Recommender System Based on Short-Term Risk Prediction for Heart Disease Patients,” in Proc. IEEE / WIC / ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2015.

  62. Yu-Feng Lin, Pei-Wen Jiang, and Vincent S. Tseng, “Efficient Mining of Frequent Target Episodes from Complex Event Sequences,” in Proc. The 2014 International Computer Symposium (ICS), Taiwan, Dec. 12-14, 2014.

  63. Philippe Fournier-Viger, Cheng-Wei Wu and Vincent S. Tseng, “Novel Concise Representations of High Utility Itemsets using Generator Patterns,” in Proc. The 10th International Conference on Advanced Data Mining and Applications (ADMA 2014), Guilin, China, Dec. 19-21, 2014.   

  64. Yu-Feng Lin, Cheng-Hao Chu, Bo-Hau Lin, Yi-Ching Yang, Vincent S. Tseng, Miin-Luen Day, Shyh-Chyi Wang, and Kuen-Rong Lo, “A Framework for Personalized Diet and Exercise Guideline Recommendation,” in Proc. The 2014 Conference on Technologies and Applications of Artificial Intelligence (TAAI), Taiwan, Nov. 21-23, 2014.   

  65. Chia Hua Li, Cheng-Wei Wu, and Vincent S. Tseng, “Efficient Vertical Mining of High Utility Quantitative Itemsets,” in Proc. The 2014 IEEE International Conference on Granular Computing (GrC 2014), Noboribetsu, Hokkaido, Japan, Oct. 22-24, 2014.   

  66. Chi-Min Huang, Josh Jia-Ching Ying, Vincent S. Tseng and Zhi-Hua Zhou, “Location Semantics Prediction for Living Analyticsby Mining Smartphone Data,” in Proc. The 2014 International Conference on Data Science and Advanced Analytics (DSAA 2014), Shanghai, China, Oct. 30- Nov. 1, 2014.   

  67. Ja-Hwung Su, Chun-Yen Wang, Ting-Wei Chiu, Josh Jia-Ching Ying, and Vincent S. Tseng, “Semantic Content-Based Music Retrieval Using Audio and Fuzzy-Music-Sense Features,” in Proc. The 2014 IEEE International Conference on Granular Computing (GrC 2014), Noboribetsu, Hokkaido, Japan, Oct. 22-24, 2014.   

  68. Josh Jia-Ching Ying, Bo-Nian Shi, Kun-Chan Lan and Vincent S. Tseng, “Spatial-temporal Mining for Urban Map-Matching,” in Proc. The 3rd International Workshop on Urban Computing (UrbComp 2014) (Held in conjunction with the 20th ACM SIGKDD 2014), New York City, USA, Aug. 24, 2014.   

  69. Philippe Fournier-Viger, Cheng-Wei Wu, SouleymaneZida, Vincent S. Tseng, “Fast High Utility Itemset Mining using Co-occurrence Information,” in Proc. The 21st International Symposium on Methodologies for Intelligent Systems (ISMIS), Netherlands, Jul. 7-11, 2014.   

  70. Shih-Hsin Fang, Eric Hsueh-Chan Lu and Vincent S. Tseng, “Trip Recommendation with Multiple User Constraints by Integrating Point-of-Interests and Travel Packages,” in Proc. The 15th IEEE International Conference on Mobile Data Management (MDM), Brisbane, Australia, Jul. 14-18, 2014.   

  71. Ted Gueniche, Philippe Fournier-Viger, Roger Nkambou and Vincent S. Tseng, “WBPL: An Open-Source Library for Predicting Web Surfing Behaviors,” in Proc. The 21st International Symposium on Methodologies for Intelligent Systems (ISMIS), Roskilde, Denmark, Jun. 25-27, 2014.   

  72. Philippe Fournier-Viger, Cheng-Wei Wu, Antonio GomarizPenalver, Vincent S. Tseng, “VMSP: Efficient Vertical Mining of Maximal Sequential Patterns,” in Proc. The 27th Canadian Conference on Artificial Intelligence (AI 2014), Canada, May 6-9, 2014.   

  73. Lukas Horak, Yu-Feng Lin, Jiun-Wei Yin, Vincent S. Tseng, “An Intelligent Cloud-based Risk Management System for Stock Investment,” in Proc. Technologies and Applications of Artificial Intelligence (TAAI) Intelligence & Design Exhibition, Taipei, Taiwan, Dec. 2013. 

  74. Yu-Feng Lin, Hsin-Han Shie, Yi-Ching Yang and Vincent S. Tseng, “A Real-Time and Continua-based Care Guideline Recommendation System,” in Proc. Asia-Pacific HL7 Conference on Health Care Information Standards 2013 (APHL7), Taipei, Taiwan, Oct. 2013. 

  75. Philippe Fournier-Viger, Cheng-Wei Wu and Vincent S. Tseng, “Mining Maximal Sequential Patterns without Candidate Maintenance,” in Proc. Int'l Conf. on Advanced Data Mining and Applications (ADMA), Hangzhou, China, Oct. 2013.   

  76. Ted Gueniche, Philippe Fournier-Viger and Vincent S. Tseng, “Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction,” in Proc. Int'l Conf. on Advanced Data Mining and Applications (ADMA), Hangzhou, China, Oct. 2013.   

  77. Ja-Hwung Su, Wei-Yi Chang and Vincent S. Tseng, “Personalized Music Recommendation by Mining Social Media Tags,” in Proc. The 15th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES), Kitakyushu, Japan, Sept. 9-12, 2013.   

  78. Josh Jia-Ching Ying, Eric Hsueh-Chan Lu, Bo-Nian Shi and Vincent S. Tseng, “TripCloud: An Intelligent Cloud-based Trip Recommendation System,” in Proc. The 13th International Symposium on Spatial and Temporal Databases (SSTD'13), Munich, Germany, Aug. 21-23, 2013.   

  79. Vincent S. Tseng, Hung-Yu Kao, Kun-Ta Chuang, Jen-Wei Huang, Yu-Feng Lin, Bo-Hau Lin, Chieh Fang, Yi-Tsung Tang, Bo-Heng Chen, Shou-Han Huang and Hao-Shang Ma, “A Novel Framework for Integrated Database and Data Analytics Services on Health Insurance Data,” in Proc. International Conference on Medical Innovation and Computing Service (MICS), Tainan, Taiwan, Aug. 3-4, 2013. 

  80. Cheng-Wei Wu, Yu-Feng Lin, Philip S. Yu and Vincent S. Tseng, “Mining High Utility Episodes in Complex Event Sequences,” in Proc. The 19th ACM SIG KDD Conference on Knowledge Discovery and Data Mining, Chicago Illinois, USA, Aug. 11-14, 2013. 

  81. Cheng-Wei Wu, Shun-Chieh Lin, Huan-Wen Tsai, and Vincent S. Tseng, “A Community-based Service Recommendation System,” in Proc. The 27th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), International Organized Session, Toyama, Japan, Jun. 2013.   

  82. Eric Hsueh-Chan Lu, Huan-Sheng Chen and Vincent S. Tseng, “Efficient Approaches for Multi-Requests Route Planning in Urban Areas,” in Proc. IEEE International Conference on Mobile Data Management (MDM), Milan, Italy, Jun. 3-6, 2013.   

  83. Josh Jia-Ching Ying, Eric Hsueh-Chan Lu, Chi-Min Huang, Kuan-Cheng Kuo, Yu-Hsien Hsiao and Vincent S. Tseng, "A Framework for Cloud-based POI Search and Trip Planning Systems," in Proc. The 2013 IEEE International Conference on Orange Technologies (ICOT'13), Taiwan (R.O.C.), Mar. 12-16, 2013. 

  84. Chun-Pei Cheng, Yi-Lin Tsai, Vincent S. Tseng, "CTGR-Span: Efficient Mining of Cross-Timepoint Gene Regulation Sequential Patterns from Microarray Datasets," in Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2012), Philadelphia, USA, Oct. 2012. 

  85. Josh Jia-Ching Ying, Eric Hsueh-Chan Lu and Vincent S. Tseng, "Followee Recommendation in Asymmetrical Location-Based Social Networks," in Proc. The 4th International Workshop on Location-Based Social Networks (LBSN 2012) (Held in conjunction with Ubicomp 2012), Pittsburgh, Pennsylvania, USA, Sept. 8, 2012. 

  86. Cheng-Wei Wu, Bai-EnShie, Philip S. Yu and Vincent S. Tseng, "Mining Top-K High Utility Itemsets," in Proc. 18th ACM SIG KDD conference on knowledge discovery and data mining, Beijing, China, Aug. 12-16, 2012. 

  87. Josh Jia-Ching Ying, Eric Hsueh-Chan Lu, Wen-Ning Kuo and Vincent S. Tseng, "Urban Point-of-Interest Recommendation by Mining User Check-in Behaviors," in Proc. The ACM SIGKDD International Workshop on Urban Computing (UrbComp 2012) (Held in conjunction with the 18th ACM SIGKDD 2012), Beijing, China, Aug. 12, 2012. 

  88. Jia-Ching Ying, Chu-Yu Chin, and Vincent S. Tseng, "Mining Web Navigation Patterns with Dynamic Thresholds for Navigation Prediction," in Proc. The 2012 IEEE International Conference on Granular Computing (GrC 2012), HangZhou, China, Aug. 11-13, 2012. 

  89. Eric Hsueh-Chan Lu, Josh Jia-Ching Ying, Huan-Sheng Chen, Vincent S. Tseng, Huan-Wen Tsai, Kuang Hung Cheng, Shun-Chieh Lin and Kawuu W. Lin, "Simulation Framework for Travel Trajectory Generation and Mobile Transaction Modeling," in Proc. The International Conference on Information Security and Intelligent Control (ISIC), Yunlin, Taiwan, Aug. 2012. 

  90. Bai-EnShie, Ji-Hong Cheng, Kun-Ta Chuang and Vincent S.Tseng, "A One-Phase Method for Mining High Utility Mobile Sequential Patterns in Mobile Commerce Environments," in Proc. The 25th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2012), Dalian, China, Jun. 9-12, 2012. 

  91. Josh Jia-Ching Ying, Yao-Jen Chang, Chi-Min Huang and Vincent S. Tseng, "Demographic Prediction Based on User's Mobile Behaviors," in Proc. The International Workshop on NOKIA Mobile Data Challenge 2012 (Held in conjunction with Pervasive 2012), Newcastle, UK, Jun. 18, 2012. 

  92. Chi-Min Huang, Josh Jia-Ching Ying and Vincent S. Tseng, "Mining Users' Behaviors and Environments for Semantic Place Prediction," in Proc. The International Workshop on NOKIA Mobile Data Challenge 2012 (Held in conjunction with Pervasive 2012), Newcastle, UK, Jun. 18, 2012. 

  93. Fournier-Viger, P., Wu, C.-W, Vincent. S. Tseng and Nkambou, R, "Mining Sequential Rules Common to Several Sequences with the Window Size Constraint," in Proc. The 25th Canadian Conf. on Artificial Intelligence (CAAI 2012), Toronto, Ontario, May 28-30, 2012.   

  94. Fournier-Viger, P., Wu, C.-W and Vincent. S. Tseng, "Mining Top-K Association Rules," in Proc. The 25th Canadian Conf. on Artificial Intelligence (CAAI 2012), Toronto, Ontario, May 28-30, 2012.   

  95. Guo-Cheng Lan, Tzung-Pei Hong and Vincent S. Tseng, "An Efficient Three-Scan Approach for Mining High Utility Itemsets," in Proc. The 17th International Symposium on Artificial Life and Robotics (AROB'12), 2012. 

  96. Guo-Cheng Lan, Tzung-Pei Hong and Vincent S. Tseng, "Sequential Utility Mining with the Maximum Measure," in Proc. The 29th workshop on Combinatorial Mathematics and Computation Theory, 2012. 

  97. Guo-Cheng Lan, Tzung-Pei Hong and Vincent S. Tseng, "Sequential Utility Mining with the Maximum Measure," in Proc. The 29th workshop on Combinatorial Mathematics and Computation Theory, 2012. 

  98. Ja-Hwung Su and Shao-Yu Fu and Tseng, V.S., "Effective Music Retrieval by Sequential Pattern-Based Alignment," in Proc. Technologies and Applications of Artificial Intelligence (TAAI) 2012 Conference, 2012.   

  99. I-Hen Tsai and Yu-Feng Lin and Yi-Ching Yang and Tseng, V.S., "A Mobile Framework for Personalized Diabetes Telecare," in Proc. Technologies and Applications of Artificial Intelligence (TAAI) 2012 Conference, 2012.   

  100. Yu-Feng Lin, Chien-Feng Huang and Tseng, V.S., "A Novel Methodology for Stock Investment Using Episode Mining and Technical Indicators," in Proc. Technologies and Applications of Artificial Intelligence (TAAI) 2012 Conference, 2012.   

  101. Guo-Cheng Lan, Chao-Hui Lee, Yu-Yen Lee, Tseng, V.S., Chu-Yu Chin, Miin-Luen Day, Shyh-Chyi Wang, Ching-Nain Chang, Shyr-Yuan Cheng, Jin-Shang Wu, "Disease Risk Prediction by Mining Personalized Health Trend Patterns: A Case Study on Diabetes," in Proc. Technologies and Applications of Artificial Intelligence (TAAI) 2012 Conference, 2012.

  102. Chun-Pei Cheng, Pei-Fen Lee, Chun-Yu Chin, Wen-Chun Liu, I-Chin Wu, Ting-Tsung Chang, and Vincent S. Tseng, "Discovering Clinical Biomarkers of Chronic Hepatitis B by Mining Mutation Hotspots," in Proc. The Conference on Technologies and Applications of Artificial Intelligence (TAAI) International Track, Taoyuan, Taiwan, Dec. 11-13, 2011. 

  103. Cheng-Wei Wu, Philippe Fournier-Viger, Phillip S. Yu and Vincent. S. Tseng, "Efficient Mining of a Concise and Lossless Representation of High Utility Itemsets," in Proc. IEEE International Conference on Data Mining (ICDM), Vancouver, Canada, Dec. 2011.

  104. Josh Jia-Ching Ying, Wang-Chien Lee, Tz-Chiao Weng, Vincent S. Tseng, "Semantic Trajectory Mining for Location Prediction," in Proc. The 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS' 11), Chicago Illinois, USA, Nov. 2011. 

  105. Josh Jia-Ching Ying, Wang-Chien Lee, Mao Ye, Ching-Yu Chen and Vincent S. Tseng, "User Association Analysis of Locales on Location Based Social Networks," in Proc. The 3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks (LBSN 2011), Chicago Illinois, USA, Nov. 1, 2011. 

  106. Ja-Hwung Su, Tzu-Shiang Hung, Chun-Jen Lee, Chung-Li Lu, Wei-Lun Chang and Vincent S. Tseng, "Effective Content-based Music Retrieval with Pattern-based Relevance Feedback," in Proc. The 15th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Kaiserslautern, Germany, Sept. 12-14, 2011. 

  107. Ja-Hwung Su, Ming-Hua Hsie, Tao Mei and Vincent. S. Tseng, "Photosense: Make Sense of Your Photos with Enriched Harmonic Music Via Emotion Association," in Proc. 2011 IEEE International Conference on Multimedia & Expo (ICME), Barcelona, Spain, Jul. 11-15, 2011. 

  108. Ja-Hwung Su, Cheng-Wei Wu, Shao-Yu Fu, Yu-Feng Lin, Wei-Yi Chang, I-Bin Liao, Kuo-Wei Chang and Vincent. S. Tseng, "Empirical Analysis of Content-based Music Retrieval for Music Identification," in Proc. International Conference on Multimedia Technology (ICMT), Hangzhou China, Jul. 26-28, 2011. 

  109. Eric Hsueh-Chan Lu, Chih-Yuan Lin and Vincent S. Tseng, "Trip-Mine: An Efficient Trip Planning Approach with Travel Time Constraints," in Proc. IEEE International Conference on Mobile Data Management (MDM), Lulea, Sweden, Jun. 6-9, 2011.

  110. Show-Jane Yen, Cheng-Wei Wu, Yue-Shi Lee and Vincent S. Tseng, "A Fast Algorithm for Mining Frequent Closed Itemsets over Stream Sliding Window," in Proc. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'2011), Taipei, Taiwan, Jun. 2011.

  111. Guo-Cheng Lan, Tzung-Pei Hong and Vincent S. Tseng, "Using Pruning and Filtering Strategies to Speed-up Projection-based Utility Mining," in Proc. The International Conference on System Science and Engineering (ICSSE'11), Macao, Jun. 8-10, 2011. 

  112. Guo-Cheng Lan, Tzung-Pei Hong and Vincent S. Tseng, "Enhancing the Pruning Performance in On-Shelf Utility Mining," in Proc. The Third International Symposium on Intelligent Informatics (ISII'11), Qingdao, China, May 1-3, 2011. 

  113. Bai-En Shie, Hui-Fang Hsiao, Philip S. Yu and Vincent S. Tseng, "Discovering Valuable User Behavior Patterns in Mobile Commerce Environments," in Proc. The 2011 Workshop on Behavior Informatics (BI 2011 joint with PAKDD2011), Shenzhen, China, May 24, 2011.

  114. Guo-Cheng Lan, Tzung-Pei Hong and Vincent S. Tseng, "Tightening Upper Bounds of Utility Values in Utility Mining," in Proc. The 28th workshop on Combinatorial Mathematics and Computation Theory (Alg'11), Penghu, May 27-28, 2011.

  115. Bai-En Shie, Hui-Fang Hsiao, Vincent S. Tseng, and Philip S. Yu, "Mining High Utility Mobile Sequential Patterns in Mobile Commerce Environments," in Proc. The 16th International Conference on Database Systems for Advanced Applications (DASFAA 2011), Hong Kong, Apr. 2011.

  116. Guo-Cheng Lan, Tzung-Pei Hong Chun-Wei Lin, Leon Shyue-Liang Wang and Vincent S. Tseng, "Mining High Average-Utility Itemsets with an Indexed Projection Technique," in Proc. The First National Conference on Web Intelligence and Applications (NCWIA'11), Kaohsiung, Taiwan, Apr. 29, 2011.

  117. Philippe Fournier-Viger, Cheng-Wei Wu, Vincent Shin-Mu Tseng, "TRuleGrowth: Mining Sequential Rules Common to Multiple Sequences with Window Size Constraint," in Proc. The 24th International Florida Artificial Intelligence Research Society Conference (FLAIRS 2011). AAAI press, 2011.

  118. Yu-Cheng Liu, Po-I Chiu, Hsuan-Cheng Huang, and Vincent S. Tseng, "Prediction of Essential Genes by Mining Gene Ontology Semantics," in Proc. The 7th International Symposium on Bioinformatics Research and Applications (ISBRA 2011), Changsha, 2011.

  119. Guo-Cheng Lan, Tzung-Pei Hong and Vincent S. Tseng, "An Effective Strategy for Reducing Average-Utility Upper Bounds in Mining," in Proc. The National Computer Symposium (NCS'11), 2011.

  120. Yu-Cheng Liu, Chao-Hui Lee, Wei-Chung Chen, J. W. Shin, Hui-Huang Hsu and Vincent S. Tseng, "A Novel Method for Mining Temporally Dependent Association Rules in Three-Dimensional Microarray Datasets," in Proc. The International Computer Symposium (ICS2010), Tainan, Dec. 2010.

  121. Chien-Feng Huang, Yu-Feng Lin, and Vincent S. Tseng, "Agent-based Optimization of Biological Response Networks," in Proc. The International Computer Symposium (ICS' 10), Tainan, Dec. 2010.

  122. Chao-Hui Lee and Vincent S. Tseng, "PTCR-Miner: Progressive Temporal Class Rule Mining for Multivariate Temporal Data Classification," in Proc. ICDM Workshops 2010, Dec. 2010.

  123. Guo-Cheng Lan, Tzung-Pei Hong and Vincent S. Tseng, "Projection-Based Utility Mining with an Efficient Indexing Mechanism," in Proc. The 2010 Conference on Technologies and Applications of Artificial Intelligence (TAAI'10), Hsinchu, Taiwan, Nov. 18-20, 2010. 

  124. Chun-Hao Chen, Lien-Chin Chen, Tzung-Pei Hong and Vincent S. Tseng, "A Cluster-Based Divide-and-Conquer Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports," in Proc. The 2010 Conference on Tehnologies and Applications of Artificial Intelligence (TAAI'10), Hsinchu, Taiwan, Nov. 18-20, 2010.

  125. Josh Jia-Ching Ying, Eric Hsueh-Chan Lu, Wang-Chien Lee, Tz-Chiao Weng, Vincent S. Tseng, "Mining User Similarity from Semantic Trajectories," in Proc. The 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks (LBSN' 10), San Jose, California, USA, Nov. 2, 2010.

  126. Guo-Cheng Lan, Tzung-Pei Hong and Vincent S. Tseng, "On-Shelf Utility Mining with an Upper-Bound Measure," in Proc. The 2nd International Symposium on Intelligent Informatics (ISII'10), Dalian, China, Sept. 5-7, 2010. 

  127. Ja-Hwung Su, Chien-Li Chou, Ching-Yung Lin and Vincent. S. Tseng, "Effective Image Semantic Annotation by Discovering visual-concept Associations from image-concept distribution Model," in Proc. The 2010 IEEE International Conference on Multimedia & Expo (ICME), Singapore, Jul. 19-23, 2010. 

  128. Vincent Tseng, Cheng Wei Wu, Bai-En Shie and Philip Yu, "UP-Growth: An Efficient Algorithm for High Utility Itemsets Mining," in Proc. The 16th ACM SIG KDD Conference on Knowledge Discovery and Data Mining, Washington, DC, Jul. 2010. 

  129. Guo-Cheng Lan, Chun-Wei Lin, Tzung-Pei Hong and Vincent S. Tseng, "Updating High Average-Utility Itemsets in Dynamic Databases," in Proc. 2011 World Congress on Intelligent Control and Automation (WCICA'11), Taipei, Taiwan, Jun. 21-25, 2010. 

  130. Guo-Cheng Lan, Tzung-Pei Hong and Vincent S. Tseng, "An Efficient Pruning Approach for Mining High Utility Itemsets," in Proc. The 2010 Conference on Information Technology and Applications in Outlying Islands (ITAOI'10), Kaohsiung, Taiwan, May 28-29, 2010. 

  131. Ja-Hwung Su, Hsin-Ho Yeh and Vincent S. Tseng, "A Novel Music Recommender by Discovering Preferable Perceptual-Patterns from Music Pieces," in Proc. The 25th ACM Symposium on Applied Computing, Sierre, Switzerland, Mar. 22-26, 2010.

  132. Bai-En Shie, Vincent S. Tseng, and Philip S. Yu, "Online Mining of Temporal Maximal Utility Itemsets from Data Streams," in Proc. The 25th Annual ACM Symposium on Applied Computing (ACM SAC 2010), Sierre, Switzerland, Mar. 22-26, 2010. 

  133. Guo-Cheng Lan, Tzung-Pei Hong and Vincent S. Tseng, "A Three-Scan Algorithm to Mine High Utility Itemsets from On-shelf Time Periods of Products," in Proc. The 2nd Asian Conference on Intelligent Information and Database Systems (ACIIDS'10), Hue City, Vietnam, Mar. 24-26, 2010.

  134. Guo-Cheng Lan, Tzung-Pei Hong and Vincent S. Tseng, "A Two-Phased Mining Algorithm for High On-shelf Utility Itemsets," in Proc. The 2nd International Conference on Computer Engineering and Applications (ICCEA'10), Bali Island, Indonesia, Mar. 19-21, 2010.

  135. Lien-Chin Chen, Hui-Yin Chang, Hsin-Yi Wu, Pao-Chi Liao, Vincent S. Tseng, "Cluster-based Peak Alignment Techniques for LC-MS Data Analysis," in Proc. The Asian Young Researchers Conference on Computational and Omics Biology, Tainan, Taiwan, Mar. 10-12, 2010.

  136. Yu-Cheng Liu, Chao-Hui Lee, Wei-Chung Chen, J. W. Shin, and Vincent S. Tseng, "Mining Temporally Dependent Coherenst Patterns on Three-dimensional Microarray Datasets," in Proc. The Asian Young Researchers Conference on Computational and Omics Biology, Tainan, Taiwan, Mar. 10-12, 2010. 

  137. Yu-Cheng Liu, Lien-Chin Chen, Hui-Yin Chang, Hsin-Yi Wu, Pao-Chi Liao and Vincent S. Tseng, "A Novel Peak Alignment Method for LC-MS Data Analysis Using Cluster-based Techniques," in Proc. The Int'l Workshop on Data Mining for Biomarker Discovery, 2010.

  138. Guo-Cheng Lan, Chao-Hui Lee, Jin-Shang Wu, Huan-Chung Li, Shing-Hua Ho and Vincent S. Tseng, "A Framework for Personalized Health Trend Analysis," in Proc. The 10th International Symposium on Pervasive Systems, Algorithms and Networks (I-SPAN'09), Taiwan, Dec. 14-16, 2009.

  139. Jia-Ching Ying, Vincent S. Tseng and Philip S. Yu, "Efficient Incremental Mining of Qualified Web Traversal Patterns without Scanning Original Databases," in Proc. The 1st Workshop on Large-scale Data Mining: Theory and Applications (ICDM/LDMTA), Miami, FL, USA, Dec. 6-9, 2009. 

  140. Guo-Cheng Lan, Tzung-Pei Hong and Vincent S. Tseng, "A Two-Phased Mining Algorithm for High On-shelf Utility Itemsets," in Proc. National Computer Symposium (NCS'09), Taipei, Taiwan, Nov. 27-28, 2009.

  141. Guo-Ceng Lan, Chao-Hui Lee, Yu-Yen Lee, Jin-Shang Wu, Huan-Chung Li and Vincent S. Tseng, "Designing Prediction Framework with the Health Trends Analysis," in Proc. The Joint Conference on Medical Informatics in Taiwan (JCMIT'09), Taipei, Taiwan, Oct. 2-4, 2009.

  142. Guo-Cheng Lan, Tzung-Pei Hong and Vincent S. Tseng, "A Three-Scan Mining Algorithm for High On-shelf Utility Itemsets," in Proc. The Second International Symposium on Intelligent Informatics (ISII'09), QinHuangDao, China, Sept. 13-15, 2009.

  143. Kawuu W. Lin, M.H. Hsieh, Vincent S. Tseng, "Mining Temporal Region-based Service Patterns for Cooperative Caching in Wireless Multimedia Sensor Networks," in Proc. Intelligent Information Hiding and Multimedia Signal Processing, Kyoto, Japan, Sept. 13, 2009.

  144. Bai-En Shie, Fong-Lin Jang, Richard Weng, and Vincent S. Tseng, "An Intelligent Web-based System for Mental Disorder Treatment by Using Biofeedback Analysis," in Proc. The 15th Int'l Conf. Distributed Multimedia Systems (DMS'09), San Francisco Bay, USA, Sept. 10-12, 2009.

  145. Eric Hsueh-Chan Lu, Chi-Wei Huang, and Vincent S. Tseng, "Continuous Fastest Path Planning in Road Networks by Mining Real-Time Traffic Event Information," in Proc. The 2nd International Symposium on Intelligent Informatics (ISII), QinHuangDao, China, Sept. 2009.

  146. Ja-Hwung Su, Bo-Wen Wang, Hsin-Ho Yeh and Vincent S. Tseng, "Ontology-Based Semantic Web Image Retrieval by Utilizing Textual and Visual Annotations," in Proc. The Workshop on Computational Intelligence Approach for Ontology-based Knowledge Discovery (CIAO -WI/IAT'2009), Milano, Italy, Sept. 15-18, 2009.

  147. Sheng Hong Liu, Tsung-Yi Ho, andVincent S. Tseng, "Placement Legalization with Simultaneous Wirelength and Displacement Minimization," in Proc. The Nineteenth International Workshop on Power and Timing Modeling, Optimization and Simulation, Delft, Holland, Sept. 2009.

  148. Wu, H.-Y., Tseng, V. S., Chen, L.-C., Chang, Y.-C., Ping, P., Tsay, Y.-G., Yu, J.-S., Liao, P.-C., "Efficient and Confident Identification of Protein Phosphorylation by Combining Dephosphorylation Reaction and High Mass Accuracy LC-MS Data," in Proc. The 8th HUPO Annual World Congress, Toronto, Canada, Aug. 2009.

  149. Wu, H.-Y., Tseng, V. S., Chen, L.-C., Liao, P.-C., "Combining Alkaline Phosphatase Treatment and LTQ/Orbitrap High Mass Accuracy LC-MS Data for the Efficient and Confident Identification of Protein Phosphorylation," in Proc. The 18th International Mass Spectrometry Conference, Bremen, Germany, Aug. 2009.

  150. Eric Hsueh-Chan Lu and Vincent S. Tseng, "Mining Cluster-based Mobile Sequential Patterns in Location-Based Service Environments," in Proc. IEEE International Conference on Mobile Data Management (MDM), Taipei, Taiwan, May 2009.

  151. Guo-Cheng Lan, Tzung-Pei Hong and Vincent S. Tseng, "Mining On-shelf High Utility Itemsets," in Proc. Conference on Information Technology and Applications in Outlying Islands (ITAOI'09), Kinmen, Taiwan, May 22-24, 2009. 

  152. Ja-Hwung Su, Hsin-Ho Yeh and Vincent S. Tseng, "An Effective Video Retrieval System by Combining Visual and Textual Mining Techniques," in Proc. The Multimedia Data Mining workshop at the 2009 SIAM SDM conference, Sparks, Nevada, May 2, 2009.

  153. Guo-Cheng Lan, Tzung-Pei Hong and Vincent S. Tseng, "A Novel Algorithm for Mining Rare-Utility Itemsets in a Multi-Database Environment," in Proc. The 26th Workshop on Combinatorial Mathematics and Computation Theory (CMCT'09), Chiayi, Taiwan, Apr. 25-26, 2009.

  154. Hung-Min Sun, Cheng-Ta Yang, Mu-En Wu and Vincent S. Tseng, "A Multisignature-like Scheme Based on RSA with CRT-Exponents," in Proc. Information Security Conference, 2009.

  155. Hung-Min Sun, Cheng-Ta Yang and Vincent S. Tseng, "An RSA with Customized Public Key," in Proc. Information Security Conference, 2009.

  156. C. H. Chen, T. P. Hong, Vincent S. Tseng, "Speeding up genetic-fuzzy mining by fuzzy clustering," in Proc. The IEEE International Conference on Fuzzy Systems, 2009.

  157. Liao, P.-C., Wu, H.-Y., Tseng, V. S., "Analysis of Protein Phosphorylation by Using High Mass Accuracy LC-MS Data Generated from Linear Ion Trap-Orbitrap Hybrid Mass Spectrometer," in Proc. The 57th ASMS Conference on Mass Spectrometry and Allied Topics, Philadelphia, 2009.

  158. Chien-Chung Lin, Lien-Chin Chen, Vincent S. Tseng, Jing-Jou Yan, Wu-Wei Lai, Wen-Pin Su, Chi-Hung Lin, Chi-Ying F. Huang, Wu-Chou Su, "Arrays analysis of lung adenocarcinoma cells in malignant pleural effusion reveals aberrant expression of glucose-metabolism regulatory genes," in Proc. The 100th American Association for Cancer Research Annual Meeting, 2009.

  159. Lien-Chin Chen, Chi-Wei Liu, and Vincent S. Tseng, "A Two-Phase Clustering Approach for Peak Alignment in Mining Mass Spectrometry Data," in Proc. The Int'l Workshop on Data Mining for Biomarker Discovery, 2009.

  160. Ja-Hwung Su, Bo-Wen Wang and Vincent S. Tseng, "Effective Ranking and Recommendation on Web Page Retrieval by Integrating Association Mining and PageRank," in Proc. The Workshop on Optimization-based Data Mining and Web Intelligence (ODM-08, held with 2008 IEEE/WIC/ACM Int'l Conf. Web Intelligence and Intelligent Agent Technology), Sydney, Australia, Dec. 2008.

  161. Vincent S. Tseng, Ming Hua Hsieh, "An Energy Saving Strategy for Object Tracking in Sensor Networks by Mining Seamless Temporal Moving Patterns," in Proc. ICST International Conference on Sensing Technology, Tainan, Taiwan, Dec. 1, 2008.

  162. Wu, H.-Y., Tseng, V. S.-M., Chen, L.-C., Liao, P.-C., "Analysis of Protein Phosphorylation by Using High Mass Accuracy LC-MS Data Generated from Hybrid Linear Ion Trap/Orbitrap Mass Spectrometer," in Proc. Taiwan-Japan Proteomics Symposium, Taipei, Taiwan, Dec. 2008.

  163. Vincent S. Tseng, Ming Hua Hsieh, Kawuu W. Lin, "Mining Region-based Movement Patterns for Energy-Efficient Object Tracking in Sensor Networks," in Proc. ISDA Eighth International Conference on Intelligent Systems Design and Applications (ISDA), Kaohsiung, Taiwan, Nov. 28, 2008.

  164. Lien-Chin Chen, Yu-Chia Lin, Masanori Arita, Vincent S. Tseng, "A Novel Approach for Handling Missing Values in Microarray Data," in Proc. the International Computer Symposium (ICS2008) Taipei, Nov. 2008.

  165. Eric Hsueh-Chan Lu, Chia-Ching Lin, and Vincent S. Tseng, "Mining the Shortest Path within a Travel Time Constraint in Road Network Environments," in Proc. IEEE International Conference on Intelligent Transportation Systems (ITSC), Beijing, China, Oct. 2008.

  166. Guo-Cheng Lan and Vincent S. Tseng, "A Novel Approach for Discovering Chain-Store High Utility Patterns in a Multi-Stores Environment," in Proc. the Second ACM International Workshop on Mining Multiple Information Sources (KDD/MMIS), Las Vegas, USA, Aug. 24-27, 2008.

  167. Ja-Hwung Su, Yu-Ting Huang and Vincent S. Tseng, "Efficient Content-based Video Retrieval by Mining Temporal Patterns," in Proc. The Ninth International Workshop on Multimedia Data Mining (KDD/MDM), Las Vegas, NV, USA, Aug. 24, 2008.

  168. Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, and Lien-Chin Chen, "A Multi-objective Genetic-Fuzzy Mining Algorithm," in Proc. IEEE International Conference on Granular Computing (GrC), China, Aug. 26-28, 2008.

  169. Vincent S. Tseng, C. H. Chen, P. C. Huang and T. P. Hong, "A cluster-based genetic approach for segmentation of time series and pattern discovery," in Proc. IEEE Congress on Evolutionary Computation (CEC), Jun. 2008.

  170. C. H. Chen, T. P. Hong and Vincent S. Tseng, "A divide-and-conquer genetic-fuzzy mining approach for items with multiple minimum supports," in Proc. IEEE International Conference on Fuzzy Systems, Jun. 2008.

  171. Vincent S. Tseng, Ja-Hwung Su, Bo-Wen Wang, Chin-Yuan Hsiao, Jay Huang and Hsin-Ho Yeh, "Intelligent Multimedia Recommender by Integrating Annotation and Association Mining," in Proc. The 2008 IEEE International Conference on Sensor Networks, and Trustworthy Computing, Taichung, Taiwan, Jun. 11-13, 2008.

  172. Vincent S. Tseng, Chao-Hui Lee and Jessie Chia-Yu Chen, "An Integrated Data Mining System for Patient Monitoring with Applications on Asthma Care," in Proc. The 21th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2008), Finland, Jun. 17-19, 2008. 

  173. Vincent Shin-Mu Tseng, Ja-Hwung Su, Bo-Wen Wang and Chin-Yuan Hsiao, "A Novel Recommendation Method based on Rough Set and Integrated Feature Mining," in Proc. the third International Conference on Innovative Computing, Information and Control, Dalian, China, Jun. 18-20, 2008. 

  174. Vincent S. Tseng, Ja-Hwung Su, Hao-Hua Ku and Bo-Wen Wang, "Intelligent Concept-Oriented Search for Content-Based Image Retrieval by Using Data Mining and Image Concept Query Decomposition Techniques," in Proc. 2008 IEEE International Conference on Multimedia & Expo, Hannover, Germany, Jun. 23-26, 2008.

  175. Vincent S. Tseng, Kawuu W. Lin, Ming-Hua Hsieh, "Energy Efficient Object Tracking in Sensor Networks by Mining Temporal Moving Patterns," in Proc. IEEE International Conference on Sensor Networks, and Trustworthy Computing, Taichung, Taiwan, Jun. 12, 2008.

  176. Vincent S. Tseng, Ja-Hwung Su, Jhih-Hong Huang, and Chih-Jen Chen, "Semantic Video Annotation by Mining Association Patterns from Visual and Speech Features," in Proc. The 12th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD-08), Japan, May 2008.

  177. Chun-Hao Chen, Tzung-Pei Hong, and Vincent S. Tseng, "A Cluster-Based Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports," in Proc. The 12th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD-08), Japan, May 2008.

  178. Vincent S. Tseng, Lien-Chin Chen, and Ching-Pin Kao, "Constrained Clustering for Gene Expression Data Mining," in Proc. The 12th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD-08), Japan, May 2008.

  179. C. H. Chen, T. P. Hong and Vincent S. Tseng, "A brief survey of genetic-fuzzy data mining techniques," in Proc. International Conference on Advanced Information Technologies, Apr. 2008.

  180. Vincent S. Tseng, Lee-Cheng Chen, Chao-Hui Lee, Jin-Shang Wu, Yu-Chia Hsu, "Development of a Vital Sign Data Mining System for Chronic Patient Monitoring," in Proc. 2008 International Workshop on Intelligent Informatics in Biology and Medicine (IIBM-08), Spain, 2008.

  181. Vincent S. Tseng, Eric Hsueh-Chan Lu and Cheng-Hsien Huang, "Mining Temporal Mobile Sequential Patterns in Location-Based Service Environments," in Proc. The 13th IEEE International Conference on Parallel and Distributed Systems (ICPADS), Hsinchu, Taiwan, Dec. 2007.

  182. Vincent S Tseng, Eric Hsueh-Chan Lu and Chia-Ming Tsai, "A Hybrid Data Mining Approach for Analysis of Patient Behaviors in RFID Environments," in Proc. National Computer Symposium (NCS), Taichung, Taiwan, Dec. 2007.

  183. Vincent S. Tseng,Yu-Cheng Liu and J. W. Shin, "Mining Gene Expression Data with Indirect Association Rules," in Proc. National Computer Symposium (NCS'2007) , Taichung, Taiwan, Dec. 2007.

  184. Vincent. S. Tseng, Ja-Hwuang Su, and Chih-Jen Chen, "Effective Video Annotation by Mining Visual Features and Speech Features," in Proc. Third Int'l Conference on Intelligent Information Hiding and Multimedia Signal Processing, Taiwan, Nov. 2007.

  185. C. H. Chen, T. P. Hong, Vincent S. Tseng, "A Modified Approach to Speed up Genetic-Fuzzy Data Mining with Divide-and-Conquer Strategy," in Proc. IEEE Congress on Evolutionary Computation, Singapore, Sept. 2007.

  186. C. H. Chen, T. P. Hong, Vincent S. Tseng and C. S. Lee, "A genetic-fuzzy mining approach for items with multiple minimum supports," in Proc. IEEE International Conference on Fuzzy Systems, UK, Jul. 2007.

  187. Vincent. S. Tseng, Ja-Hwung Su and Wei-Jyun Huang, "FCBIR: A Fuzzy Matching Technique for Content-Based Image Retrieval," in Proc. IFSA 2007 World Congress, Mexico, Jun. 2007. 

  188. C. H. Chen, T. P. Hong and Vincent S. Tseng, "A Comparison of Different Fitness Functions for Extracting Membership Functions Used in Fuzzy Data Mining," in Proc. IEEE Symposium on Foundations of Computational Intelligence, USA, Apr. 2007.

  189. Vincent S. Tseng, C. H. Chen, H. M. Chen, H. J. Chang and C. T. Yu, "Using data mining techniques for analysis and prevention of dispension errors," in Proc. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, USA, Apr. 2007.

  190. Vincent S. Tseng, Lien-Chin Chen, and Jian-Jie Liu, "Gene Relation Discovery by Mining Similar Subsequences in Time-Series Microarray Data," in Proc. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), USA, Apr. 2007.

  191. Vincent S. Tseng, Jia-Hwung Su, Bo-Wen Wang, Yu-Ming Lin, "Web Image Annotation by Fusing Visual Features and Textual Information," in Proc. ACM Symposium on Applied Computing (SAC), 2007. 

  192. Wu, H.-Y., Tseng, V. S.-M., Liao, P.-C., "Mining Phosphopeptide Signals in Liquid Chromatography-Mass Spectrometry Data for Protein Phosphorylation Analysis," in Proc. TSMS Conference, Tainan, 2007.

  193. Vincent S. Tseng, C. H. Chen and T. P. Hong, "Segmentation of time series by the clustering and genetic algorithms," in Proc. IEEE ICDM Workshop on Foundation of Data Mining and Novel Techniques in High Dimensional Structural and Unstructured Data, Hong Kong, Dec. 2006.

  194. Cheng-Che Lu and Vincent S. Tseng, "Music Classification by Parsing Main Melody," in Proc. International Computer Symposium, Taipei, Taiwan, Dec. 2006.

  195. Vincent S. Tseng and C. P. Kao, "Towards Parameter-less and Similarity-based Fuzzy Clustering based on PCM Method," in Proc. IEEE International Conference on Systems, Man, and Cybernetics, Taiwan, Oct. 2006.

  196. Vincent S. Tseng, J. H. Su, "Intelligent Multimedia Contents Annotation and Retrieval," in Proc. Int'l Conference on Digital Archives Techniques, Taipei, Sept. 2006.

  197. C. H. Chen, T. P. Hong and Vincent S. Tseng, "A cluster-based fuzzy-genetic mining approach for association rules and membership functions," in Proc. IEEE International Conference on Fuzzy Systems, Canada, Jun. 2006.

  198. C. H. Chen, T. P. Hong and Vincent S. Tseng, "A less domain-dependent fuzzy mining algorithm for frequent trends," in Proc. IEEE International Conference on Fuzzy Systems, Canada, Jun. 2006.

  199. Vincent S. Tseng, L. C. Chen and Y. D. Hsieh, "Discovering Gene Clusters via Integrated Analysis on Time-Series and Group-Comparative Microarray Datasets," in Proc. The 19th IEEE Int'l Conf. on Computer-based Medical Systems (CBMS'06), USA, Jun. 2006.

  200. Tsang-Hsiang Cheng, Chih-Ping Wei, Vincent Tseng, "Feature Selection for Medical Data Mining: Comparisons of Expert Judgment and Automatic Approaches," in Proc. The 19th IEEE Int'l Conf. on Computer-based Medical Systems (CBMS'06), USA, Jun. 2006.

  201. Vincent S. Tseng, J. C. Chang and K. W. Lin, "Mining and Prediction of Temporal Navigation Patterns for Personalized Services in E-Commerce," in Proc. ACM Symposium on Applied Computing, France, Apr. 2006.

  202. Vincent S. Tseng, C. J. Chu, T. Liang, "Efficient Mining of Temporal High Utility Itemsets from Data streams," in Proc. ACM KDD Workshop on Utility-Based Data Mining, Philadelphia, USA, 2006.

  203. Vincent S. Tseng, J. H. Su, J. H. Huang, "A Novel Video Annotation Method by Integrating Visual Features and Frequent Patterns," in Proc. ACM KDD Workshop on Multimedia Data Mining, Philadelphia, USA, 2006.

  204. Vincent S. Tseng, L. C. Chen and J. J. Liu, "Discovering Gene Relations by Mining Similar Subsequences from Time Series Microarray," in Proc. Int'l Workshop on Science of Artificial, Taiwan, Dec. 2005.

  205. Vincent S. Tseng, J. H. Su and H. H. Ku, "Intelligent Concept-Oriented Search for Content-based Image Retrieval," in Proc. The 10th Int'l Conf. Artificial Intelligence and Applications, Kaohsiung, Taiwan, Dec. 2005.

  206. Vincent S. Tseng, Y. H. Chen, C. H. Chen, J. W. Shin, "Mining Fuzzy Association Patterns in Gene Expression Databases," in Proc. The 10th Int'l Conf. Artificial Intelligence and Applications, Kaohsiung, Taiwan, Dec. 2005.

  207. C. H. Chen, T. P. Hong and Vincent S. Tseng, "Mining Linguistic Trends from Time Series," in Proc. Int'l Workshop on Foundation and Direction in Data Mining (held with IEEE ICDM), USA, Nov. 2005.

  208. Vincent S. Tseng, Eric H. C. Lu, Kawuu W. Lin, "An Energy-Efficient Approach for Real-Time Tracking of Moving Object in Multi-Level Sensor Networks," in Proc. The 11th IEEE Int'l Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Hong Kong, China, Aug. 2005.

  209. Vincent S. Tseng, J. H. Su and C. J. Lee, "Classify by Representative or Associations (CBROA): A Hybrid Approach for Image Classification," in Proc. Int'l Workshop on Multimedia Data Mining (held with KDD), USA, Aug. 2005.

  210. C. H. Chen, T. P. Hong and Vincent S. Tseng, "Analyzing Time-Series Data by Fuzzy Data-Mining Technique," in Proc. IEEE Int'l Conf. Granular Computing, China, Jul. 2005.

  211. Vincent S. Tseng, Pao-Ching Tseng and Kawuu W.C. Lin, "Mining Temporal and Spatial Object Relations in Multimedia Contents," in Proc. IEEE Symposium on Multimedia Over Wireless (with WirelessCom'05), Maui, USA, Jun. 2005.

  212. Vincent S. Tseng and C. H. Lee, "CBS: A New Classification Method by using Sequential Patterns," in Proc. SIAM Int'l Conf. on Data Mining, Newport Beach, Southern California, USA, Apr. 2005.

  213. Vincent S. Tseng, Ming-Hsiang Wang, and Ja-Hwung Su, "A New Method for Image Classification by Using Multilevel Association Rules," in Proc. IEEE International Workshop on Managing Data for Emerging Multimedia Applications (EMMA'05, held with ICDE'05), Tokyo, Japan, Apr. 2005. 

  214. Vincent S. Tseng and Kawuu W.C. Lin, "Discovering Temporal Moving Patterns from Object Tracking Sensor Networks," in Proc. Int'l Workshop on Ubiquitous Data Management (held with ICDE'05), Tokyo, Japan, Apr. 2005.

  215. Vincent S. Tseng and W. C. Lin, "Efficient Mining of Sequential Mobile Access Patterns in Mobile Web Systems," in Proc. International Workshop on Web and Mobile Information Systems, Taipei, Taiwan, Mar. 2005.

  216. Vincent S. Tseng and M. S. Wang, "Image Classification using Multilevel Association Rules," in Proc. The 9th Conf. Artificial Intelligence and Applications, Taipei, Taiwan, Dec. 2004.

  217. Vincent S. Tseng and W. C. Lin, "Exploiting Data Mining Techniques to Support Context-aware M-services in Mobile Web Service Systems," in Proc. International Computer Symposium, Taipei, Dec. 2004.

  218. Vincent S. Tseng and C. H. Lee, "Categorical Time-Series Data Classification base on Sequential Pattern," in Proc. International Computer Symposium, Taipei, Dec. 2004.

  219. T. P. Hong, C. H. Chen, Y. L. Wu and V. S. Tseng, "Finding Active Membership Functions in Fuzzy Data Mining," in Proc. Int'l Workshop on Foundation and Direction in Data Mining (held with IEEE ICDM), Brighton, UK, Nov. 2004.

  220. Vincent S. Tseng and Shih-Chiang Yang, "Mining Multi-Level Association Rules from Gene Expression Profiles and Gene Ontology," in Proc. IEEE Workshop Life Science Data Mining (held with IEEE ICDM), UK, Nov. 2004.

  221. Vincent S. Tseng, M. S. Wang, et al., "Intelligent MPEG-7 Image Retrieval by Using Positive and Negative Feedback," in Proc. The 8th World Multiconference on Systemics, Cybernetics and Informatics (SCI 2004), Orlando, USA, Jul. 2004.

  222. Vincent S. Tseng and Ching-Ping Kao, "A Novel Parameter-less Clustering Method for Mining Gene Expression Data," in Proc. The 8th Pacific Asia Conf. on Knowledge Discovery and Data Mining (PAKDD'04), Sydney, Australia, May 2004.

  223. Hsieh-Hui Yu, Vincent S. Tseng and Jiin-Haur Chuang, "A Multi-Information based Gene Scoring Method with Applications on Analysis of Hepatocellular Carcinoma," in Proc. IEEE Int'l Conf. Bioengineering and Bioinformatics (BIBE), Taipei, May 2004.

  224. Chien-I Lee, Yu-Chiang Li, and S. Tseng, "An Efficient Approach for Partial-Sum Queries in Data Cubes Using Hamming-Based Codes," in Proc. The 9th Int'l Conf. Database Systems for Advances Applications (DASFAA04), Korea, Mar. 2004.

  225. Hung-Min Sun, Bin-Tsan and S. Tseng, "Cryptanalysis of Aydos et al.'s ECC-Based Wireless Authentication," in Proc. IEEE Int'l Conference on e-Technology, e-Commerce and e-Service(EEE-04), Taipei, Taiwan, Mar. 2004.

  226. Vincent S. Tseng, Y. L. Chen and S. C. Yang, "A Framework for Effective Gene Expression Analysis and Biological Knowledge Discovery," in Proc. 2003 BISC FLINT-CIBI Int'l Joint Workshop on Soft Computing for Internet and Bioinformatics, Berkeley, USA, Dec. 2003.

  227. Hsieh-Hui Yu, Jiin-Haur Chuang and Vincent S. Tseng, "Analysis of Hepatocellular Carcinoma by Using the Gene Scoring Method," in Proc. Int'l Symposium on Genomics, Proteomics and Biomedical Technology, Taipei, Dec. 2003.

  228. S. Tseng and Y. L. Chen, "An Effective Approach for Resolving Fundamental Problems in Time-Series Gene Expression Mining," in Proc. Int'l Workshop on Foundation and Direction in Data Mining (held with IEEE ICDM), USA, Nov. 2003.

  229. B. W. Wang and S. Tseng, "Handling Missing Values in Large Databases by Using Clustering and Multidimensional Analysis," in Proc. Symposium on Digital Life and Internet Technologies, Tainan, Taiwan, Sept. 2003.

  230. S. Tseng and C. H. Lee, "A New Classification Method by Using Sequential Patterns," in Proc. Symposium on Digital Life and Internet Technologies, Tainan, Taiwan, Sept. 2003.

  231. S. Tseng, et al., "Genefilter: a Software Tool for Mining Gene Expression Patterns," in Proc. The 11th Annual Symposium on Molecular Biology, Taiwan, Jan. 2003.

  232. S. Tseng and C. F. Chiu, "An Efficient Method for Mining Associated Service Patterns in Mobile Web Environments," in Proc. ACM Symposium on Applied Computing, USA, 2003.

  233. S. Tseng, K. H. Wang and C. I. Lee, "A Preprocessing Method to Deal with Missing Values by Integrating Clustering and Regression Techniques," in Proc. 2002 Int'l Workshop on Data Cleaning and Preprocessing, Japan, Dec. 2002.

  234. S. Tseng and W. C. Chan, "Mining Complete User Moving Paths in a Mobile Environment," in Proc. 2002 International Workshop on Databases and Software Engineering, Taiwan, Dec. 2002.

  235. S. Tseng and L. J. Chen, "An Empirical Study of the Validity of Gene Expression Clustering," in Proc. 2002 Int'l Conf. on Mathematics and Engineering Techniques in Medicine and Biological Sciences (METMBS), Las Vegas, USA, Jun. 2002.

  236. S. Tseng and W. C. Chan, "An Efficient Method for Mining Complete User Moving Paths in Mobile Environments," in Proc. 2002 Symposium on Digital Life and Internet Technologies, Tainan, 2002.

  237. S. Tseng and C. F. Chiu, "A Data Mining Mechanism for Discovering Service Patterns in Mobile Web Environments," in Proc. 2002 Symposium on Digital Life and Internet Technologies, Tainan, 2002.

  238. S. Tseng and C. P. Kao, "Efficiently Mining Gene Expression Data via Integrated Clustering and Validation Techniques," in Proc. Pacific Asia Conf. on Knowledge Discovery and Data Mining (PAKDD), Taipei, 2002.

  239. H. R. Chen, Y. H. Chen and S. Tseng, "Real-Time Transaction Scheduling in Distributed Real-Time Database Systems," in Proc. The 9th International Workshop on Parallel and Distributed Real-Time Systems (WPDRTS), San Francisco, USA, Apr. 2001.

  240. S. Tseng, "An Efficient Clustering Method for Gene Expression Mining," in Proc. Int'l Symposium on Medical Informatics, Taipei, 2001.

  241. S. Tseng, C.L. Shih, et al., "Design of an Intelligent Comparison Shopping Agent," in Proc. The Sixth Conference on Artificial Intelligence and Applications, Kaohsiung, 2001.

  242. S. Tseng and C. P. Kao, "An Effective Method for Mining Gene Expression Data," in Proc. The Sixth Conference on Artificial Intelligence and Applications, Kaohsiung, 2001.

  243. S. Tseng, "Efficient Mining of Categorized Association Rules in Large Databases," in Proc. 2000 IEEE International Conference on Systems, Man, and Cybernetics, Tennessee, USA, Oct. 2000.

  244. S. Tseng, "A Real-Time Transaction Model for Electronic Commerce," in Proc. 2000 Workshop on Internet and Distributed Systems, Tainan, Taiwan, May 2000.

  245. S. Tseng, "Efficient Mining of Association Rules with Item Constraints," in Proc. 1998 Int'l Conf. Discovery Science, Fukuoka, Japan, Dec. 1998.

  246. H. R. Chen, Y. H. Chin and S. Tseng, "Design and Performance Evaluation of FHR Scheduler for distributed real-time databases," in Proc. The 4th Int'l Symp. on Real-Time and Media Systems, Taipei, Sept. 1998.

  247. S. Tseng, C. J. Kuo and W. P. Yang, "Real-Time Scheduling for Universal Telecommunication Services: a Performance Evaluation," in Proc. 10th Int'l Conf. Computing and Information (ICCI'98), Ontario, Canada, Jun. 1998.

  248. S. Tseng, Y. H. Chin, and W. P. Yang, "Dynamic Multiprocessor Scheduling for Supporting Real-Time Constraints," in Proc. 1997 Asian Computing Science Conference, Nepal, Dec. 1997.

  249. S. Tseng, Y. H. Chin, and W. P. Yang, "An Adaptive Value-Based Scheduling Policy for Multiprocessor Real-Time Database Systems," in Proc. The 8th Int'l Conf. Database and Expert System Applications (DEXA'97), France, Sept. 1997.

  250. S. Tseng, Y. H. Chin, and W. P. Yang, "Incorporating Real-Time Scheduling Support in Personal Communication Services," in Proc. The 4th Australian Conf. Parallel and Real-Time Systems (PART'97), Australia, Sept. 1997.

  251. S. Tseng, Y. H. Chin, and W. P. Yang, "On Using Savepoints for Scheduling Transactions with Values in Real-Time Database Systems," in Proc. The 8th Int'l Conf. Computing and Information (ICCI'96), Canada, Jun. 1996.

  252. S. Tseng, Y. H. Chin, and W. P. Yang, "Scheduling Value-Based Transactions in Real-Time Main Memory Databases," in Proc. The 1st Int'l Workshop Real-Time Database Systems (RTDB'96), California, USA, Mar. 1996.

  253. S. Tseng, Y. H. Chin, and W. P. Yang, "Scheduling Real-Time Transactions with Dynamic Values: a Performance Evaluation," in Proc. The 2nd Int'l Workshop Real-Time Computing Systems and Applications (RTCSA'95), Tokyo, Japan, Oct. 1995.

  254. S. Tseng, Y. H. Chin, and W. P. Yang, "Scheduling Real-Time Transactions with Time-Variant Values," in Proc. The 1st Workshop Real-Time and Media Systems, Taipei, Taiwan, Jul. 1995.



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