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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

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
    4. Dhananjay R. Thiruvady, Geoff I. Webb
      Pages 161-165
  8. Session 2C: Classification (II)

    1. Byung Joo Kim, Il Kon Kim, Kwang Baek Kim
      Pages 171-180
    2. Yang Zhang, Zhanhuai Li, Yan Tang, Kebin Cui
      Pages 191-195
    3. Jing Liu, Weicai Zhong, Fang Liu, Licheng Jiao
      Pages 196-200
    4. Hongjian Fan, Kotagiri Ramamohanarao
      Pages 201-206
  9. Session 3A: Event Mining, Anomaly Detection, and Intrusion Detection

    1. Xingzhi Sun, Maria E. Orlowska, Xue Li
      Pages 212-221
    2. Cui Zhu, Hiroyuki Kitagawa, Spiros Papadimitriou, Christos Faloutsos
      Pages 222-234
    3. Jie Chen, Hongxing He, Graham Williams, Huidong Jin
      Pages 235-239
    4. Takehisa Yairi, Shiro Ogasawara, Koichi Hori, Shinichi Nakasuka, Naoki Ishihama
      Pages 240-244
    5. Xiaoshu Hang, Honghua Dai
      Pages 245-254
    6. Joshua Oldmeadow, Siddarth Ravinutala, Christopher Leckie
      Pages 255-259
  10. Session 3B: Ensemble Learning

    1. Honghua Dai, Gang Li, Zhi-Hua Zhou
      Pages 260-271
    2. Fang Chu, Carlo Zaniolo
      Pages 282-292
    3. Amit Mandvikar, Huan Liu, Hiroshi Motoda
      Pages 293-297
    4. Zhi-Hua Zhou, Dan Wei, Gang Li, Honghua Dai
      Pages 298-307
  11. Session 3C: Bayesian Network and Graph Mining

    1. Gang Li, Honghua Dai, Yiqing Tu
      Pages 308-318
    2. Zhihai Wang, Geoffrey I. Webb, Fei Zheng
      Pages 319-328
    3. Sharma Chakravarthy, Ramji Beera, Ramanathan Balachandran
      Pages 341-350
  12. Session 3D: Text Mining (I)

    1. Tomoyuki Uchida, Tomonori Mogawa, Yasuaki Nakamura
      Pages 351-360
    2. Adam Kowalczyk, Bhavani Raskutti, Herman Ferrá
      Pages 361-372
    3. Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu
      Pages 373-383
    4. Wenyuan Li, Wee-Keong Ng, Ee-Peng Lim
      Pages 389-393
  13. Session 4A: Clustering (II)

    1. Karin Kailing, Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert
      Pages 394-403
    2. Anoop Jain, Parag Sarda, Jayant R. Haritsa
      Pages 404-413

About these proceedings

Introduction

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.

Keywords

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

Bibliographic information

  • DOI https://doi.org/10.1007/b97861
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-22064-0
  • Online ISBN 978-3-540-24775-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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