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© 2003

Advances in Knowledge Discovery and Data Mining

7th Pacific-Asia Conference, PAKDD 2003, Seoul, Korea, April 30 – May 2, 2003 Proceedings

  • Kyu-Young Whang
  • Jongwoo Jeon
  • Kyuseok Shim
  • Jaideep Srivastava
Conference proceedings PAKDD 2003

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2637)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 2637)

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Industrial Papers (Invited)

  3. Stream Mining I

    1. Xingzhi Sun, Maria E. Orlowska, Xiaofang Zhou
      Pages 15-26
  4. Graph Mining

    1. Mingsheng Hong, Haofeng Zhou, Wei Wang, Baile Shi
      Pages 40-51
    2. Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio
      Pages 52-62
  5. Clustering I

    1. Jörg Sander, Xuejie Qin, Zhiyong Lu, Nan Niu, Alex Kovarsky
      Pages 75-87
  6. Text Mining

  7. Bio Mining

    1. Annie Lau, Siew Siew Ong, Ashesh Mahidadia, Achim Hoffmann, Johanna Westbrook, Tatjana Zrimec
      Pages 124-135
    2. N. Rattanakronkul, T. Wattarujeekrit, K. Waiyamai
      Pages 136-147
    3. Tu Minh Phuong, Doheon Lee, Kwang Hyung Lee
      Pages 148-158
    4. Hyongguen Kim, Jong Park, Kyungsook Han
      Pages 159-165
  8. Web Mining

    1. Yi-Dong Shen, Qiang Yang, Zhong Zhang, Hongjun Lu
      Pages 166-177
    2. Younes Hafri, Chabane Djeraba, Peter Stanchev, Bruno Bachimont
      Pages 191-202

About these proceedings

Introduction

The 7th Paci?c Asia Conference on Knowledge Discovery and Data Mining (PAKDD) was held from April 30 to May 2, 2003 in the Convention and Ex- bition Center (COEX), Seoul, Korea. The PAKDD conference is a major forum for academic researchers and industry practitioners in the Paci?c Asia region to share original research results and development experiences from di?erent KDD-related areas such as data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition and discovery, data visualization, and knowledge-based systems. The conference was organized by the Advanced Information Technology Research Center (AITrc) at KAIST and the Statistical Research Center for Complex Systems (SRCCS) at Seoul National University. It was sponsored by the Korean Datamining Society (KDMS), the Korea Inf- mation Science Society (KISS), the United States Air Force O?ce of Scienti?c Research, the Asian O?ce of Aerospace Research & Development, and KAIST. It was held with cooperation from ACM’s Special Group on Knowledge Dis- very and Data Mining (SIGKDD).

Keywords

DOM E-Commerce Service-oriented Computing Workflow algorithms calculus classification clustering data mining database information extraction learning classifier systems optimization statistical learning web mining

Editors and affiliations

  • Kyu-Young Whang
    • 1
  • Jongwoo Jeon
    • 2
  • Kyuseok Shim
    • 3
  • Jaideep Srivastava
    • 4
  1. 1.Computer Science DepartmentKorea Advanced Institute of Science and TechnologyDaejeonKorea
  2. 2.Department of StatisticsSeoul National UniversitySillimdong Kwanakgu, SeoulKorea
  3. 3.School of Electrical Engineering and Computer ScienceSeoul National UniversitySeoulKorea
  4. 4.Department of Computer Science and EngineeringUniversity of MinnesotaMinneapolisUSA

Bibliographic information

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