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. An Overview of Computational 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
  3. Scalable Clustering
    J. Ghosh
    Handbook of Data Mining, Chapter 10, Nong Ye (Ed), Lawrence Ealbaum Assoc, 2003, pp. 247-277. pdf 
  4. Chameleon: Hierarchical Clustering Using Dynamic Modeling
    G. Karypis, E. Han and V. Kumar
    IEEE Computer, 32(8), 1999 Aug, pp. 68-75
  5. Combining predictors
    L. Breiman
    COMBINING ARTIFICIAL NEURAL NETS: Ensemble and Modular Multi-Net Systems, ed. A. Sharkey Springer-Verlag London Ltd 1999
  6. Mining Very Large Databases
    V. Ganti, J. Gherke and R. Ramakrishnan
    IEEE Computer 32(8), Aug, 1999
  7. Signature-based Methods for Data Streams
    Corinna Cortes and Daryl Pregibon
    Data Mining and Knowledge Discovery 5(3):167-182, July 2001
  8. Data mining for hypertext: A tutorial survey
    S. Chakrabarti
    ACM SIGKDD Explorations, 1(2), pages 1--11, 2000
Last updated 1/2004