Advances in knowledge discovery and data mining : 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004 : proceedings /

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 submi...

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Bibliographic Details
Corporate Authors: Pacific-Asia Conference on Knowledge Discovery and Data Mining Sydney, Australia, Pacific-Asia Conference on Knowledge Discovery and Data Mining Sydney, N.S.W.
Other Authors: Dai, Honghua, Srikant, Ramakrishnan, Zhang, Chengqi, 1957-
Format: Conference Proceeding Book
Language:English
Published: Berlin ; New York : Springer, [2004], ©2004
Berlin ; New York : c2004
Berlin ; New York : ©2004
Series:Lecture notes in computer science ; 3056
Lecture notes in computer science Lecture notes in artificial intelligence.
Lecture notes in computer science 3056
Subjects:
Table of Contents:
  • Invited Speeches
  • Session 1A: Classification (I)
  • Session 1B: Clustering (I)
  • Session 1C: Association Rules (I)
  • Session 2A: Novel Algorithms (I)
  • Session 2B: Association (II)
  • Session 2C: Classification (II)
  • Session 3A: Event Mining, Anomaly Detection, and Intrusion Detection
  • Session 3B: Ensemble Learning
  • Session 3C: Bayesian Network and Graph Mining
  • Session 3D: Text Mining (I)
  • Session 4A: Clustering (II)
  • Session 4B: Association (III)
  • Session 4C: Novel Algorithms (II)
  • Session 4D: Multimedia Mining
  • Session 5A: Text Mining and Web Mining (II)
  • Session 5B: Statistical Methods, Sequential Data Mining, and Time Series Mining
  • Session 5C: Novel Algorithms (III)
  • Session 5D: Biomedical Mining
  • Invited speeches
  • Session 1A: Classification (I)
  • Session 1B: Clustering (I)
  • Session 1C: Association rules (I)
  • Session 2A: Novel algorithms (I)
  • Session 2B: Association (II)
  • Session 2C: Classification (II)
  • Session 3A: Event mining, anomaly detection, and intrusion detection
  • Session 3B: Ensemble learning
  • Session 3C: Bayesian network and graph mining
  • Session 3D: Text mining (I)
  • Session 4A: Clustering (II)
  • Session 4B: Association (III)
  • Session 4C: Novel algorithms (II)
  • Session 4D: Multimedia mining
  • Session 5A: Text mining and web mining (II)
  • Session 5B: Statistical methods, sequential data mining, and time series mining
  • Session 5C: Novel algorithms (III)
  • Session 5D: Biomedical mining