Data Mining Reading List 1

This is a list of broad, survey-type but useful articles that are included with the lecture notes. Be aware of the copyright notice when you use these materials.
  1. The New Jersey Data Reduction Report
    Daniel Barbara, William DuMouchel, Christos Faloutsos, Peter J. Haas, Joseph M. Hellerstein, Yannis Ioannisdis, H. V. Jagadish, Theodore Johnson, Raymond Ng, Viswanath Poosala, Kenneth A. Ross, and Kenneth C. Servcik
    IEEE Bulletin of the Technical Committee on Data Engineering, 20(4), Dec, 1997, pp 3-45
  2. Statistical themes and lessons for data mining
    Daryl Pregibon, Clark Glymour, David Madigan and Padhraic Smyth
    In Proc. Second International Conference on Knowldege Discovery and Data Mining, pp 25-42, 1996
  3. An Overview of Predictive Learning and Function Approximation
    J. H. Friedman
    In V. Cherkassky, J.H. Friedman, and H. Wechsler, editors, From Statistics to Neural Networks, Proc. NATO/ASI Workshop, pp 1-61, Springer Verlag, 1994
  4. Relation-Based clustering and Visualization for High-dimensional Data Mining
    A. Strehl and J. Ghosh
    INFORMS Journal on Computing, 2002. In press.
  5. Chameleon: Hierarchical Clustering Using Dynamic Modeling
    George Karypis, Eui-Hong (Sam) Han, Vipin Kumar
    IEEE Computer, 32(8), 1999 Aug, pp. 68-75
  6. Leo Breiman
    in COMBINING ARTIFICIAL NEURAL NETS: Ensemble and Modular Multi-Net Systems
    Edited: Amanda Sharkey Publisher: Springer-Verlag London Ltd 1999
  7. Mining Very Large Databases
    Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishnan
    IEEE Computer, 32(8), Aug, 1999, pp. 38-45
  8. Signature-based Methods for Data Streams
    Corinna Cortes and Daryl Pregibon
    Data Mining and Knowledge Discovery 5(3):167-182, July 2001
Last updated 08/2002