Advances in Knowledge Discovery and Data Mining

12th Pacific-Asia Conference, PAKDD 2008 Osaka, Japan, May 20-23, 2008 Proceedings

  • Editors
  • Takashi Washio
  • Einoshin Suzuki
  • Kai Ming Ting
  • Akihiro Inokuchi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5012)

Table of contents

  1. Front Matter
  2. Keynote Speech

    1. Christos Faloutsos
      Pages 1-1
  3. Invited Speeches

    1. Michael R. Berthold, Fabian Dill, Tobias Kötter, Kilian Thiel
      Pages 14-25
    2. Robert C. Holte, Chris Drummond
      Pages 26-29
  4. Long Papers

    1. Ira Assent, Ralph Krieger, Petra Welter, Jörg Herbers, Thomas Seidl
      Pages 40-52
    2. Ying-Ju Chen, Yi-Hong Chu, Ming-Syan Chen
      Pages 53-63
    3. Wei Ding, Rachsuda Jiamthapthaksin, Rachana Parmar, Dan Jiang, Tomasz F. Stepinski, Christoph F. Eick
      Pages 88-99
    4. Waiyawuth Euachongprasit, Chotirat Ann Ratanamahatana
      Pages 100-111
    5. Dominique Gay, Nazha Selmaoui, Jean-François Boulicaut
      Pages 112-123
    6. Shuguo Han, Wee Keong Ng
      Pages 136-147
    7. Shohei Hido, Tsuyoshi Idé, Hisashi Kashima, Harunobu Kubo, Hirofumi Matsuzawa
      Pages 148-159
    8. Tetsuji Kuboyama, Kouichi Hirata, Kiyoko F. Aoki-Kinoshita
      Pages 184-195
    9. Sylvain Létourneau, Stan Matwin, A. Fazel Famili
      Pages 196-208

Other volumes

  1. Advances in Knowledge Discovery and Data Mining
    12th Pacific-Asia Conference, PAKDD 2008 Osaka, Japan, May 20-23, 2008 Proceedings
  2. PAKDD 2008 International Workshops, Osaka, Japan, May 20-23, 2008. Revised Selected Papers

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2008, held in Osaka, Japan, in May 2008.

The 37 revised long papers, 40 revised full papers, and 36 revised short papers presented together with 1 keynote talk and 4 invited lectures were carefully reviewed and selected from 312 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic scientific discovery, data visualization, causal induction, and knowledge-based systems.

Keywords

data mining data warehouse database databases knowledge knowledge discovery knowledge-based system knowledge-based systems learning machine learning statistics visualization warehousing

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-68125-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-68124-3
  • Online ISBN 978-3-540-68125-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book