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
    3. Jason J. Jung, Geun-Sik Jo
      Pages 203-208
  9. Stream Mining II

    1. Gianluigi Greco, Antonella Guzzo, Giuseppe Manco, Domenico Saccà
      Pages 209-221
    2. JungHwan Oh, JeongKyu Lee, Sanjaykumar Kote
      Pages 222-233
    3. Kamran Karimi, Howard J. Hamilton
      Pages 234-240
  10. Bayesian Networks

    1. Edward Harrington, Ralf Herbrich, Jyrki Kivinen, John Platt, Robert C. Williamson
      Pages 241-252
    2. Hongbo Shi, Zhihai Wang, Geoffrey I. Webb, Houkuan Huang
      Pages 265-270
  11. Clustering II

  12. Association Rules I

    1. Vikram Pudi, Jayant R. Haritsa
      Pages 313-324
    2. P. Deepa Shenoy, K. G. Srinivasa, K. R. Venugopal, L. M. Patnaik
      Pages 325-336
  13. Semi-structured Data Mining

    1. Bo-Hyun Yun, Myung-Eun Lim, Soo-Hyun Park
      Pages 350-355
    2. Ho-pong Leung, Fu-lai Chung, Stephen Chi-fai Chan
      Pages 356-362
  14. Classification I

    1. Myung Won Kim, Joung Woo Ryu, Samkeun Kim, Joong Geun Lee
      Pages 363-375
    2. Hyunjung Shin, Sungzoon Cho
      Pages 376-387
    3. Chen-zhou Ye, Jie Yang, Li-xiu Yao, Nian-yi Chen
      Pages 394-398
  15. Data Analysis

    1. Li Wei, Weining Qian, Aoying Zhou, Wen Jin, Jeffrey X. Yu
      Pages 399-410
    2. Pierre-Emmanuel Jouve, Nicolas Nicoloyannis
      Pages 411-422
    3. Tetsuhiro Miyahara, Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Sachio Hirokawa, Kenichi Takahashi et al.
      Pages 430-436
  16. Association Rules II

    1. Chang-Hung Lee, Jian Chih Ou, Ming-Syan Chen
      Pages 449-460
    2. Sanjay Chawla, Bavani Arunasalam, Joseph Davis
      Pages 461-466
    3. Iko Pramudiono, Masaru Kitsuregawa
      Pages 467-473
  17. Feature Selection

    1. Huan Liu, Lei Yu, Manoranjan Dash, Hiroshi Motoda
      Pages 474-485
    2. Christopher R. Palmer, Christos Faloutsos
      Pages 486-500

About these proceedings


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).


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

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-04760-5
  • Online ISBN 978-3-540-36175-6
  • Series Print ISSN 0302-9743
  • Buy this book on publisher's site
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