Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining

  • Honghua Dai
  • Ramakrishnan Srikant
  • Chengqi Zhang
Publisher:Springer Science & Business MediaISBN 13: 9783540220640ISBN 10: 354022064X

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Advances in Knowledge Discovery and Data Mining is written by Honghua Dai and published by Springer Science & Business Media. It's available with International Standard Book Number or ISBN identification 354022064X (ISBN 10) and 9783540220640 (ISBN 13).

This book constitutes the refereed proceedings of the 8th Pacific-Asia Conference on Knowledge Discovery and Data mining, PAKDD 2004, held in Sydney, Australia in May 2004. The 50 revised full papers and 31 revised short papers presented were carefully reviewed and selected from a total of 238 submissions. The papers are organized in topical sections on classification; clustering; association rules; novel algorithms; event mining, anomaly detection, and intrusion detection; ensemble learning; Bayesian network and graph mining; text mining; multimedia mining; text mining and Web mining; statistical methods, sequential data mining, and time series mining; and biomedical data mining.