© 2004

Advances in Knowledge Discovery and Data Mining

8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004. Proceedings

  • Honghua Dai
  • Ramakrishnan Srikant
  • Chengqi Zhang
Conference proceedings PAKDD 2004

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3056)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 3056)

Table of contents

  1. Front Matter
  2. Invited Speeches

  3. Session 1A: Classification (I)

  4. Session 1B: Clustering (I)

    1. Chih-Ming Hsu, Ming-Syan Chen
      Pages 31-40
    2. Gianluigi Greco, Antonella Guzzo, Luigi Pontieri, Domenico Saccà
      Pages 52-62
  5. Session 1C: Association Rules (I)

    1. Yun Chi, Yirong Yang, Yi Xia, Richard R. Muntz
      Pages 63-73
    2. Stanley R. M. Oliveira, Osmar R. Zaïane, Yücel Saygin
      Pages 74-85
    3. Daniel Barbará, Ping Chen, Zohreh Nazeri
      Pages 86-95
  6. Session 2A: Novel Algorithms (I)

    1. Roger M. H. Ting, James Bailey, Kotagiri Ramamohanarao
      Pages 96-105
    2. Peng Han, Bo Xie, Fan Yang, Jiajun Wang, Ruimin Shen
      Pages 106-115
    3. Andy M. Yip, Edmond H. Wu, Michael K. Ng, Tony F. Chan
      Pages 116-120
    4. Tim Churches, Peter Christen
      Pages 121-126
    5. Arnaud Soulet, Bruno Crémilleux, François Rioult
      Pages 127-132
  7. Session 2B: Association (II)

    1. Tetsuhiro Miyahara, Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Kenichi Takahashi, Hiroaki Ueda
      Pages 133-144
    2. Zhenxing Qin, Li Liu, Shichao Zhang
      Pages 145-154
    3. Francesco Bonchi, Bart Goethals
      Pages 155-160

About these proceedings


ThePaci?c-AsiaConferenceonKnowledgeDiscoveryandDataMining(PAKDD) has been held every year since 1997. This year, the eighth in the series (PAKDD 2004) was held at Carlton Crest Hotel, Sydney, Australia, 26–28 May 2004. PAKDD is a leading international conference in the area of data mining. It p- vides an international forum for researchers and industry practitioners to share their 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 and automatic scienti?c discovery, data visualization, causal induction, and knowledge-based systems. The selection process this year was extremely competitive. We received 238 researchpapersfrom23countries,whichisthehighestinthehistoryofPAKDD, and re?ects the recognition of and interest in this conference. Each submitted research paper was reviewed by three members of the program committee. F- lowing this independent review, there were discussions among the reviewers, and when necessary, additional reviews from other experts were requested. A total of 50 papers were selected as full papers (21%), and another 31 were selected as short papers (13%), yielding a combined acceptance rate of approximately 34%. The conference accommodated both research papers presenting original - vestigation results and industrial papers reporting real data mining applications andsystemdevelopmentexperience.Theconferencealsoincludedthreetutorials on key technologies of knowledge discovery and data mining, and one workshop focusing on speci?c new challenges and emerging issues of knowledge discovery anddatamining.ThePAKDD2004programwasfurtherenhancedwithkeynote speeches by two outstanding researchers in the area of knowledge discovery and data mining: Philip Yu, Manager of Software Tools and Techniques, IBM T.J.


Bayesian network algorithms classification data mining knowledge discovery multimedia service-oriented computing web mining

Editors and affiliations

  • Honghua Dai
    • 1
  • Ramakrishnan Srikant
    • 2
  • Chengqi Zhang
    • 3
  1. 1.School of Engineering and Information TechnologyDeakin UniversityAustralia
  2. 2.University of Illinois at Urbana-ChampaignUrbanaUSA
  3. 3.Faculty of Engineering and Information Technology, Centre for Quantum Computation and Intelligent Systems, and Australian ACS National Committee for Artificial IntelligenceUniversity of TechnologySydneyAustralia

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