• 師資陣容

    • 行政技術人員

曾新穆 Vincent S. Tseng 特聘教授
  • 國立交通大學資訊科學博士
  • 工程三館 515
  • 03-5712121 # 54722

經歷

1. Professor, Department of Computer Science, National Chiao Tung University 2015 - Now
2. Professor, Department of Computer Science and Information Engineering, National Cheng Kung University (NCKU), 2007-2014
3. President, Taiwanese Association for Artificial Intelligence (TAAI)
4. Director, Institute of Medical Informatics, NCKU, 2008-2011
5. Director, Department of Medical Informatics, NCKU Hospital, 2004-2007

研究興趣

巨量資料,資料探勘,生醫資訊,行動與社群網路

實驗室

  • 巨量資料分析實驗室
  • 工程三館 613
  • 03-5712121 # 54765

研究計畫

1. 科技部跨領域計劃 - 以系統生物學及整合平台探索轉錄調控與關聯蛋白網路:以新穎致癌蛋白ZNF322A之研究為模型--建置一個整合式資料與文字探勘平台以發掘與ZNF322A有關之重要轉錄基因與互動 (2013-2016),
2. 科技部 - 高效益探勘技術及其在新興領域之應用(2012-2015)
3. 工研院 - 多區域服務軌跡分析技術 (2014)
4. 資策會 - 適用於串流資料中探勘技術的研究探討 (2014)
5. 數位典藏國家型計劃 - 支援行動及網際網路架構之影像多媒體探勘及搜尋系統 (2009-2012)

代表著作

1.Vincent S. Tseng*, Cheng-Wei Wu; Fournier-Viger, Philippe; Philip Yu, "Efficient Algorithms for Mining the Concise and Lossless Representation of High Utility Itemsets," Accepted and to appear in IEEE Transactions on Knowledge and Data Engineering (TKDE). (IF: 1.815, Ranking: 25/135, COMPUTER SCIENCE, INFORMATION SYSTEMS )
2.Vincent S. Tseng*, Bai-En Shie, Cheng-Wei Wu and Philip S. Yu, “Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases,” in IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol.25, No.8, pp.1772-1786, 2013. (IF: 1.815, Ranking: 25/135, COMPUTER SCIENCE, INFORMATION SYSTEMS )
3.Cheng-Wei Wu, Yu-Feng Lin, Philip S. Yu and Vincent S. Tseng*, "Mining High Utility Episodes in Complex Event Sequences", 19th ACM SIG KDD Conference on Knowledge Discovery and Data Mining (KDD’13), Chicago, Illinois, USA, 2013. (Full Paper, accept rate ~9%)
4.Cheng Wei Wu, Bai-En Shie, Philip S. Yu and Vincent S. Tseng*, “Mining Top-K High Utility Itemsets,” in 18th ACM SIG KDD Conference on Knowledge Discovery and Data Mining (KDD’12), Beijing, China, 2012. (Full Paper, accept rate ~9%)
5.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 Proceedings of IEEE International Conference on Data Mining (ICDM’11), pp. 824-833, Vancouver, Canada, 2011. (Full Paper, accept rate ~9%)
6.Vincent S. Tseng*, Cheng Wei Wu, Bai-En Shie and Philip Yu, "UP-Growth: An Efficient Algorithm for High Utility Itemsets Mining.", accepted and to appear in proceedings of the 16th ACM SIG KDD Conference on Knowledge Discovery and Data Mining (KDD’10), Washington, DC, 2010. (Full Paper, accept rate ~9%)
7.Josh Jia-Ching Ying, Wang-Chien Lee and Vincent S. Tseng*(Correspondence author), "Mining Geographic-Temporal-Semantic Patterns in Trajectories for Location Prediction," ACM Transactions on Intelligent Systems and Technology (TIST), Vol. 5, No. 2, December, 2013. (Impact Factor: 9.39, Ranking: 1/121, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
8.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,” in ACM Transactions on Intelligent Systems and Technology (TIST), Vol. 5, No. 3, September, 2014. (Impact Factor: 9.39, Ranking: 1/121, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)
9.Ja-Hwung Su, Wei-Jyun Huang, Vincent S. Tseng*(Correspondence author) 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, March, 2011. (IF= 1.815, Ranking: 25/135 COMPUTER SCIENCE, INFORMATION SYSTEMS)
10.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, November, 2011. (Impact Factor=5.323, Ranking: 1/47, Mathematical & Computational Biology)