IEEE International Conference on Data Mining 2001: Proceedings

Overview

This proceedings of the November 2001 conference explores the design, analysis and implementation of data mining theory and systems. The 72 regular papers and 37 posters discuss data mining algorithms, data and knowledge representation, modeling of data to support data mining, scalability issues, statistics and probability, soft computing, integration of data warehousing, and pattern recognition. Topics include comparisons of classification methods for screening potential compounds, using artificial anomalies to detect network intrusions, automatic topic identification using web page clustering, subject classification in the Oxford English dictionary, and the EQ framework for learning equivalence classes of Bayesian networks. No subject index. Annotation c. Book News, Inc., Portland, OR (booknews.com)