Publications

SIGKDD Explorations is the Newsletter of the ACM SIGKDD,
Special Interest Group on Knowledge Discovery and Data Mining

Here are the contents of the newsletter.

See http://www.acm.org/sigkdd/explorations/ for abstracts
and full text of the articles.

December 2000. Volume 2, Issue 2
Table of Contents:

Editorial                                       K. Shim  i

Contributed Articles on Scalable Data Mining

Support Vector Machines:  Hype or Hallelujah?
      K. P. Bennett and C. Campbell

Mining Frequent Patterns by Pattern-Growth: Methodology and Implications
      J. Han and J. Pei

The Segment Support Map:  Scalable Mining of Frequent Itemsets
      L. V. S. Lakshmanan, C. K.-S. Leung, R. T. Ng

Mining Patterns in Long Sequential Data with Noise
      W. Wang, J. Yang, P. S. Yu

Distributed Data Clustering Can Be Efficient and Exact
      G. Forman and B. Zhang

Scalable Data Mining with Model Constraints
      M. Garofalakis and R. Rastogi

An Efficient Data Compression Approach to the Classification Task
      C. Diamantini and M. Panti

Systems Support for Scalable Data Mining
      W. A. Maniatty and M. J. Zaki

Mining Frequent Patterns with Counting Inference
      Y. Bastide, R. Taouil, N. Pasquier, G. Stumme and L. Lakhal

Measuring Lift Quality in Database Marketing
      G. Piatetsky-Shapiro and S. Steingold

The UCI KDD Archive of Large Data Sets for Data Mining Research and
    Experimentation
      S. D. Bay, D. Kibler, M. J. Pazzani, and P. Smyth

Reports from KDD-2000

KDD-Cup 2000 Organizers' Report:  Peeling the Onion
      R. Kohavi, C. E. Brodley, B. Frasca, L. Mason, and Z. Zheng

Text Mining as Integration of Several Related Research Areas:
Report on KDD'2000 Workshop on Text Mining
     M. Grobelnik, D. Mladenic, and N. Milic-Frayling

Report on MDM/KDD2000:  The 1st International Workshop on
Multimedia  Data Mining
     S. J. Simoff and O. R. Za�ane

WEBKDD 2000 -- Web Mining for E-Commerce
     M. Spiliopoulou, J. Srivastava , R. Kohavi, and B. M. Masand

Report from the Workshop on Distributed and Parallel Knowledge Discovery,
ACM SIGKDD-2000
     H. Kargupta, J. Ghosh , V. Kumar, and Z. Obradovic

Postprocessing in Machine Learning and Data Mining
     I. Bruha and A. Famili

Report on the KDD2000 Panel Personalization and Data Mining:
Exploring the Synergies
     A. Tuzhilin

Events and Announcements