Advances in Knowledge Discovery and Data Mining

5th Pacific-Asia Conference, PAKDD 2001 Hong Kong, China, April 16–18, 2001 Proceedings

  • David Cheung
  • Graham J. Williams
  • Qing Li
Conference proceedings PAKDD 2001

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2035)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 2035)

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Keynote Presentations

  3. Web Mining

    1. Chia-Hui Chang, Shao-Chen Lui, Yen-Chin Wu
      Pages 4-15
    2. Vijay S. Iyengar, Tong Zhang
      Pages 16-27
    3. Yao-Tsung Lin, Shian-Shyong Tseng
      Pages 41-46
    4. Tetsuhiro Miyahara, Takayoshi Shoudai, Tomoyuki Uchida, Kenichi Takahashi, Hiroaki Ueda
      Pages 47-52
  4. Text Mining

    1. Eui-Hong (Sam) Han, George Karypis, Vipin Kumar
      Pages 53-65
    2. Chi Yuen Ng, Joseph Lee, Felix Cheung, Ben Kao, David Cheung
      Pages 90-101
  5. Applications and Tools

    1. Boon-Toh Low, Ki Chan, Lei-Lei Choi, Man-Yee Chin, Sin-Ling Lay
      Pages 114-123
    2. Ole M. Nielsen⋆, Peter Christen, Markus Hegland, Tatiana Semenova, Timothy Hancock
      Pages 124-135
    3. Andrew Turpin, Eibe Frank, Mark Hall, Ian H. Witten, Chris A. Johnson
      Pages 136-147
    4. Russell J. Kennett, Kevin B. Korb, Ann E. Nicholson
      Pages 148-153
    5. Chun Hung Li, Pong Chi Yuen
      Pages 154-160

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2001, held in Hong Kong, China in April 2001.
The 38 revised full papers and 22 short papers presented were carefully reviewed and selected from a total of 152 submissions. The book offers topical sections on Web mining, text mining, applications and tools, concept hierarchies, feature selection, interestingness, sequence mining, spatial and temporal mining, association mining, classification and rule induction, clustering, and advanced topics and new methods.

Keywords

Algorithmic Learning Bayesian network Classification DRM Data Mining Database Mining Information Retrieval Sequential Learning Text Summarization Web Mining calculus database evolutionary algorithm performance semantics

Editors and affiliations

  • David Cheung
    • 1
  • Graham J. Williams
    • 2
  • Qing Li
    • 3
  1. 1.Dept. of Computer Science and Information SystemsThe University of Hong KongPokfulamHong Kong China
  2. 2.CSIRO Mathematical and Information SciencesCanberraAustralia
  3. 3.Department of Computer ScienceCity University of Hong KongKowloonHong Kong China

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-45357-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2001
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-41910-5
  • Online ISBN 978-3-540-45357-4
  • Series Print ISSN 0302-9743
  • About this book
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