© 2006

Advances in Knowledge Discovery and Data Mining

10th Pacific-Asia Conference, PAKDD 2006, Singapore, April 9-12, 2006. Proceedings

  • Wee-Keong Ng
  • Masaru Kitsuregawa
  • Jianzhong Li
  • Kuiyu Chang
Conference proceedings PAKDD 2006

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3918)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 3918)

Table of contents

  1. Front Matter
  2. Keynote Speech

    1. Prabhakar Raghavan
      Pages 11-11
  3. Invited Speech

    1. Bhavani M. Thuraisingham
      Pages 12-14
  4. Classification

    1. Lianwei Zhao, Siwei Luo, Yanchang Zhao, Lingzhi Liao, Zhihai Wang
      Pages 20-29
    2. Dae-Ki Kang, Adrian Silvescu, Vasant Honavar
      Pages 45-54
    3. Flavian Vasile, Adrian Silvescu, Dae-Ki Kang, Vasant Honavar
      Pages 55-59
    4. Kurt Driessens, Peter Reutemann, Bernhard Pfahringer, Claire Leschi
      Pages 60-69
  5. Ensemble Learning

    1. Fei Tony Liu, Kai Ming Ting
      Pages 81-90
    2. Hongjian Fan, Ming Fan, Kotagiri Ramamohanarao, Mengxu Liu
      Pages 91-96
    3. Eibe Frank, Bernhard Pfahringer
      Pages 97-106
    4. Yang Liu, Aijun An, Xiangji Huang
      Pages 107-118
  6. Ensemble Learning

    1. Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert
      Pages 139-148
    2. Lizheng Jiang, Dongqing Yang, Shiwei Tang, Xiuli Ma, Dehui Zhang
      Pages 149-159

About these proceedings


The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference in the area of data mining and knowledge discovery. This year marks the tenth anniversary of the successful annual series of PAKDD conferences held in the Asia Pacific region. It was with pleasure that we hosted PAKDD 2006 in Singapore again, since the inaugural PAKDD conference was held in Singapore in 1997. PAKDD 2006 continues its tradition of providing an international forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all aspects of KDD data mining, including data cleaning, data warehousing, data mining techniques, knowledge visualization, and data mining applications. This year, we received 501 paper submissions from 38 countries and regions in Asia, Australasia, North America and Europe, of which we accepted 67 (13.4%) papers as regular papers and 33 (6.6%) papers as short papers. The distribution of the accepted papers was as follows: USA (17%), China (16%), Taiwan (10%), Australia (10%), Japan (7%), Korea (7%), Germany (6%), Canada (5%), Hong Kong (3%), Singapore (3%), New Zealand (3%), France (3%), UK (2%), and the rest from various countries in the Asia Pacific region.


algorithms classification data mining database knowledge discovery learning multimedia relational database service-oriented computing web mining

Editors and affiliations

  • Wee-Keong Ng
    • 1
  • Masaru Kitsuregawa
    • 2
  • Jianzhong Li
    • 3
  • Kuiyu Chang
    • 4
  1. 1.Nanyang Technological UniversitySingapore
  2. 2.Institute of Industrial ScienceThe University of TokyoTokyoJapan
  3. 3.School of Computer Science and TechnologyHeilongjiang UniversityChina
  4. 4.School of Computer EngineeringNanyang Technological UniversitySingaporeSingapore

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