Stream Data Mining

  1. R. Motwani and P. Raghavan, Randomized Algorithms, Cambridge University Press,1995.
  2. S. Babu and J. Widom Continuous Queries over Data Streams. SIGMOD Record, pp. 109-120, Sept. 2001.
  3. B. Babcock, S. Babu, M. Datar, R. Motwani and J. Widom, “Models and Issues in Data Stream Systems”, Proc. 2002 ACM-SIGACT/SIGART/SIGMOD Int. Conf. on Principles of Data base (PODS′02), Madison, WI, June 2002.  (Conference tutorial)
  4. M. Garofalakis, J. Gehrke, R. Rastogi, “Querying and Mining Data Streams: You Only Get One Look”,  Tutorial  at 2002 ACM-SIGMOD Int. Conf. on Management of Data (SIGMOD′02), Madison, WI, June 2002.
  5.  S. Muthukrishnan, Data streams: algorithms and applications, Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms, 2003.
  6. Y. Chen, G. Dong, J. Han, B. W. Wah, and J. Wang, " Multi-Dimensional Regression Analysis of Time-Series Data Streams ′′, Proc. 2002 Int. Conf. on Very Large Data Bases (VLDB′02), Hong Kong, China, Aug. 2002.
  7. S. Guha, N. Mishra, R. Motwani, and L. O′Callaghan. Clustering Data Streams, Proc. IEEE Symposium on Foundations of Computer Science (FOCS′00), Redondo Beach, CA, pp. 359-366, 2000
  8. Stratis Viglas, Jeffrey Naughton, Rate-Based Query Optimization for Streaming Information Sources, SIGMOD’02
  9. Samuel Madden, Mehul Shah, Joseph Hellerstein, Vijayshankar Raman, Continuously Adaptive Continuous Queries over Streams, SIGMOD02.
  10. Alin Dobra, Minos N. Garofalakis, Johannes Gehrke, Rajeev Rastogi:, Processing Complex Aggregate Queries over Data Streams, SIGMOD’02
  11. Gurmeet Singh Manku, Rajeev Motwani..  Approximate Frequency Counts over Data Streams, VLDB’02
  12. Yunyue Zhu, Dennis Shasha.  StatStream: Statistical Monitoring of Thousands of Data Streams in Real Time, VLDB’02
  13. J. Gehrke, F. Korn, D. Srivastava.  On computing correlated aggregates over continuous data streams.  Proc. 2001 ACM-SIGMOD Int. Conf. Management of Data (SIGMOD′01), Santa Barbara, CA, pp. 13-24, May 2001.
  14. Geoff Hulten, Laurie Spencer, Pedro Domingos: Mining time-changing data streams. KDD 2001: 97-106
  15. J. Han, ``Mining Dynamics of Data Streams in Multidimensional Space ′′ (in PowerPoint), ICDM′02 Keynote Speech, Maebashi City, Japan, Dec. 2002.
  16. C. Aggarwal, J. Han, J. Wang, P. S. Yu, “A Framework for Clustering Evolving Data Streams”,  Proc.  2003 Int. Conf. on Very Large Data Bases (VLDB′03), Berlin, Germany, Sept. 2003.
  17. H. Wang, W. Fan, P. S. Yu, and J. Han, “Mining Concept-Drifting Data Streams using Ensemble Classifiers”, Proc. 2003 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD′03), Washington, D.C., Aug. 2003. 
  18.  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.
  19. Wei Fan, Systematic Data Selection to Mine Concept-Drifting Data Streams, KDD-04.
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