| Online Context-Aware Recommendation with Time Varying Multi-Armed Bandit C Zeng, Q Wang, S Mokhtari, T Li The 22Nd ACM SIGKDD International Conference on Knowledge Discovery and Data …, 2016 | 173 | 2016 |
| Data-driven techniques in disaster information management T Li, N Xie, C Zeng, W Zhou, L Zheng, Y Jiang, Y Yang, HY Ha, W Xue, ... ACM Computing Surveys (CSUR) 50 (1), 1-45, 2017 | 136 | 2017 |
| Personalized Recommendation via Parameter-Free Contextual Bandits L Tang, Y Jiang, L Li, C Zeng, T Li Proceedings of the 38th international ACM Conference on Research and …, 2015 | 105 | 2015 |
| Online interactive collaborative filtering using multi-armed bandit with dependent arms Q Wang, C Zeng, W Zhou, T Li, SS Iyengar, L Shwartz, GY Grabarnik IEEE Transactions on Knowledge and Data Engineering 31 (8), 1569-1580, 2018 | 95 | 2018 |
| Data Mining Meets the Needs of Disaster Information Management L Zheng, C Shen, L Tang, C Zeng, T Li, S Luis, SC Chen IEEE Transactions on Human-Machine Systems 43 (5), 451-464, 2013 | 89 | 2013 |
| FLAP: An end-to-end event log analysis platform for system management T Li, Y Jiang, C Zeng, B Xia, Z Liu, W Zhou, X Zhu, W Wang, L Zhang, ... Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 55 | 2017 |
| Star: A system for ticket analysis and resolution W Zhou, W Xue, R Baral, Q Wang, C Zeng, T Li, J Xu, Z Liu, L Shwartz, ... Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 52 | 2017 |
| Resolution recommendation for event tickets in service management W Zhou, L Tang, C Zeng, T Li, L Shwartz, GY Grabarnik IEEE Transactions on Network and Service Management 13 (4), 954-967, 2016 | 50 | 2016 |
| Knowledge guided hierarchical multi-label classification over ticket data C Zeng, W Zhou, T Li, L Shwartz, GY Grabarnik IEEE Transactions on Network and Service Management 14 (2), 246-260, 2017 | 46 | 2017 |
| FIU-Miner: a Fast, Integrated, and User-Friendly System for Data Mining in Distributed Environment C Zeng, Y Jiang, L Zheng, J Li, L Li, H Li, C Shen, W Zhou, T Li, B Duan, ... Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 46 | 2013 |
| Real time contextual collective anomaly detection over multiple data streams Y Jiang, C Zeng, J Xu, T Li Proceedings of the ODD 14, 2014 | 45 | 2014 |
| Applying Data Mining Techniques to Address Critical Process Optimization Needs in Advanced Manufacturing L Zheng, C Zeng, L Li, Y Jiang, W Xue, J Li, C Shen, W Zhou, H Li, L Tang, ... Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 42 | 2014 |
| Constructing the knowledge base for cognitive it service management Q Wang, W Zhou, C Zeng, T Li, L Shwartz, GY Grabarnik 2017 IEEE International Conference on Services Computing (SCC), 410-417, 2017 | 32 | 2017 |
| Mining Temporal Lag from Fluctuating Events for Correlation and Root Cause Analysis C Zeng, L Tang, T Li, L Shwartz, GY Grabarnik 10th International Conference on Network and Service Management (CNSM) and …, 2014 | 32 | 2014 |
| Hierarchical multi-label classification over ticket data using contextual loss C Zeng, T Li, L Shwartz, GY Grabarnik 2014 IEEE Network Operations and Management Symposium (NOMS), 1-8, 2014 | 32 | 2014 |
| Data-driven techniques in computing system management T Li, C Zeng, Y Jiang, W Zhou, L Tang, Z Liu, Y Huang ACM Computing Surveys (CSUR) 50 (3), 1-43, 2017 | 30 | 2017 |
| 大数据时代的数据挖掘——从应用的角度看大数据挖掘 李涛， 曾春秋， 周武柏， 周绮凤， 郑理 大数据 1 (4), 57-80, 2015 | 22 | 2015 |
| Online Inference for Time-varying Temporal Dependency Discovery from Time Series C Zeng, Q Wang, W Wang, T Li, L Shwartz 2016 IEEE International Conference on Big Data (Big Data), 1281-1290, 2016 | 21 | 2016 |
| An advanced inventory data mining system for business intelligence Q Zhou, B Xia, W Xue, C Zeng, R Han, T Li 2017 IEEE Third International Conference on Big Data Computing Service and …, 2017 | 17 | 2017 |
| 数据挖掘的应用与实践: 大数据时代的案例分析 李涛， 计算机科学 厦门大学出版社, 2013 | 17 | 2013 |
Tao Li (李涛)Florida International Universitycs.fiu.edu의 이메일 확인됨
