CSCE6350: Advanced Database Systems, Spring 2009 Instructor Dr. Yan Huang Team Member Shu Chen shuchen@unt.edu Paper List 1. Gaber, M, M., Zaslavsky, A., and Krishnaswamy, S., Mining Data Streams: A Review, in ACM SIGMOD Record, Vol. 34, No. 1, June 2005, ISSN: 0163-5808 link 2. B. Babcock, S. Babu, M. Datar, R. Motwani, and J. Widom, Models and Issues in Data Stream Systems, in Proceedings of PODS, 2002. link 3. Scholz, Martin and Klinkenberg, Ralf: An Ensemble Classifier for Drifting Concepts. In Gama, J. and Aguilar-Ruiz, J. S. (editors), Proceedings of the Second International Workshop on Knowledge Discovery in Data Streams, pages 53--64, Porto, Portugal, 2005. link 4. Nasraoui O. , Cerwinske J., Rojas C., and Gonzalez F., "Collaborative Filtering in Dynamic Usage Environments", in Proc. of CIKM 2006 – Conference on Information and Knowledge Management, Arlington VA , Nov. 2006 link 5. Daniel J. Abadi , Wolfgang Lindner , Samuel Madden , Jörg Schuler, An integration framework for sensor networks and data stream management systems, Proceedings of the Thirtieth international conference on Very large data bases, p.1361-1364, August 31-September 03, 2004, Toronto, Canada link 6. Jia-Yu Pan, Srinivasan Seshan, and Christos Faloutsos. FastCARS: Fast, Correlation-Aware Sampling for Network Data Mining. In Proceedings of IEEE GlobeCOM 2002 - Global Internet Symposium, 2002. link 7. C. Giannella, J. Han, J. Pei, X. Yan and P.S. Yu, "Mining Frequent Patterns in Data Streams at Multiple Time Granularities", H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha (eds.), Next Generation Data Mining, 2003. link 8. Wei Fan, Systematic Data Selection to Mine Concept-Drifting Data Streams, KDD-04. link Selected Paper C. Olston, J. Jiang, and J. Widom. Adaptive Filters for Continuous Queries over Distributed Data Streams , In Proc. of SIGMOD 2003, June 2003 Summary Presentation Attachment 2 Questions Attachment 1 Critique Attachment 3 Proposal Attachment 4 |