Advances in Knowledge Discovery and Data Mining

13th Pacific-Asia Conference, PAKDD 2009 Bangkok, Thailand, April 27-30, 2009 Proceedings

  • Thanaruk Theeramunkong
  • Boonserm Kijsirikul
  • Nick Cercone
  • Tu-Bao Ho
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5476)

Table of contents

  1. Front Matter
  2. Keynote Speeches

  3. Regular Papers

    1. Biao Qin, Yuni Xia, Fang Li
      Pages 4-15
    2. Xiaoyun He, Jaideep Vaidya, Basit Shafiq, Nabil Adam, Evimaria Terzi, Tyrone Grandison
      Pages 16-27
    3. Xiaowei Ying, Xintao Wu
      Pages 28-39
    4. Agus T. Kwee, Flora S. Tsai, Wenyin Tang
      Pages 40-51
    5. Kritsada Sriphaew, Hiroya Takamura, Manabu Okumura
      Pages 62-73
    6. Poramin Bheganan, Richi Nayak, Yue Xu
      Pages 74-85
    7. Krikamol Muandet, Sanparith Marukatat, Cholwich Nattee
      Pages 98-109
    8. Jun Sun, Zhiyong Shen, Bai Su, Yidong Shen
      Pages 110-121
    9. Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi, Mohammed J. Zaki
      Pages 122-133
    10. Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao, James Bezdek
      Pages 134-146
    11. Chun-Ling Chen, Frank S. C. Tseng, Tyne Liang
      Pages 147-159
    12. Ureerat Wattanachon, Jakkarin Suksawatchon, Chidchanok Lursinsap
      Pages 160-171
    13. Nizar Bouguila, Khalid Daoudi
      Pages 184-195

Other volumes

  1. Advances in Knowledge Discovery and Data Mining
    13th Pacific-Asia Conference, PAKDD 2009 Bangkok, Thailand, April 27-30, 2009 Proceedings
  2. PAKDD 2009 International Workshops, Bangkok, Thailand, April 27-30, 2009. Revised Selected Papers

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, held in Bangkok, Thailand, in April 2009.

The 39 revised full papers and 73 revised short papers presented together with 3 keynote talks were carefully reviewed and selected from 338 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

Editors and affiliations

  • Thanaruk Theeramunkong
    • 1
  • Boonserm Kijsirikul
    • 2
  • Nick Cercone
    • 3
  • Tu-Bao Ho
    • 4
  1. 1.Sirindhorn International Institute of TechnologyThammasat UniversityBangkadi, MuangThailand
  2. 2.Dept. of Computer Engineering, Faculty of EngineeringChulalongkorn UniversityBangkokThailand
  3. 3.Faculty of Science & EngineeringYork UniversityTorontoCanada
  4. 4.School of Knowledge ScienceJapan Advanced Institute of Science and TechnologyIshikawaJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-01307-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-01306-5
  • Online ISBN 978-3-642-01307-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book