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.
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
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
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
Applying Classification Algorithms in Practice
C. E. Brodley and P. Smyth
Statistics and Computing,
7, 1997
Leo Breiman
in COMBINING ARTIFICIAL NEURAL NETS: Ensemble and Modular Multi-Net
Systems
Edited: Amanda Sharkey Publisher: Springer-Verlag London Ltd 1999
Mining the Web's Link Structure Soumen Chakrabarti,
Byron E. Dom,
S. Ravi Kumar,
Prabhakar Raghavan,
Sridhar Rajagopalan,
Andrew Tomkins,
David Gibson,
and Jon Kleinberg
IEEE Computer, 32(8), Aug, 1999, pp. 60-67