Advances in Knowledge Discovery and Data Mining

9th Pacific-Asia Conference, PAKDD 2005, Hanoi, Vietnam, May 18-20, 2005. Proceedings

  • Tu Bao Ho
  • David Cheung
  • Huan Liu

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3518)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 3518)

Table of contents

  1. Front Matter
  2. Keynote Speech and Invited Talks

  3. Theoretic Foundations

    1. Tran Trang, Nguyen Cam Chi, Hoang Ngoc Minh
      Pages 21-31
    2. Ling Zhang, Tao Wu, Yanping Zhang
      Pages 38-42
    3. Nan Zhang, Wei Zhao, Jianer Chen
      Pages 43-49
    4. Yoshikazu Shima, Kouichi Hirata, Masateru Harao
      Pages 50-60
  4. Association Rules

    1. Ying Zhang, HongYe Su, Tao Jia, Jian Chu
      Pages 61-70
    2. Shiying Huang, Geoffrey I. Webb
      Pages 71-80
    3. Gh. Gasmi, S. Ben Yahia, E. Mephu Nguifo, Y. Slimani
      Pages 81-90
    4. S. Ben Yahia, Y. Slimani, J. Rezgui
      Pages 91-96
    5. Yun Sing Koh, Nathan Rountree
      Pages 97-106
    6. Manoranjan Dash, Deepak Kolippakkam
      Pages 107-113
    7. Francesco Bonchi, Claudio Lucchese
      Pages 114-124
    8. Mafruz Zaman Ashrafi, David Taniar, Kate Smith
      Pages 125-135
    9. Jin Soung Yoo, Pusheng Zhang, Shashi Shekhar
      Pages 136-142
    10. Zhi-Hong Deng, Cong-Rui Ji, Ming Zhang, Shi-Wei Tang
      Pages 150-154

About these proceedings

Introduction

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. It provides 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 scientific discovery, data visualization, causality induction, and knowledge-based systems. This year’s conference (PAKDD 2005) was the ninth of the PAKDD series, and carried the tradition in providing high-quality technical programs to facilitate research in knowledge discovery and data mining. It was held in Hanoi, Vietnam at the Melia Hotel, 18–20 May 2005. We are pleased to provide some statistics about PAKDD 2005. This year we received 327 submissions (a 37% increase over PAKDD 2004), which is the highest number of submissions since the first PAKDD in 1997) from 28 countries/regions: Australia (33), Austria (1), Belgium (2), Canada (11), China (91), Switzerland (2), France (9), Finland (1), Germany (5), Hong Kong (11), Indonesia (1), India (2), Italy (2), Japan (21), Korea (51), Malaysia (1), Macau (1), New Zealand (3), Poland (4), Pakistan (1), Portugal (3), Singapore (12), Taiwan (19), Thailand (7), Tunisia (2), UK (5), USA (31), and Vietnam (9). The submitted papers went through a rigorous reviewing process. Each submission was reviewed by at least two reviewers, and most of them by three or four reviewers.

Keywords

Clustering algorithmic learning association rule mining biomedical data analysis classification data mining information extraction knowledge discovery learning classifier systems machine learning rough sets self-organizing map text mining web data mining

Editors and affiliations

  • Tu Bao Ho
    • 1
  • David Cheung
    • 2
  • Huan Liu
    • 3
  1. 1.Japan Advanced Institute of Science and TechnologyNomiJapan
  2. 2.University of Hong KongHong KongChina
  3. 3.Department of Computer Science and EngineeringArizona State UniversityTempeUSA

Bibliographic information

  • DOI https://doi.org/10.1007/b136725
  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-26076-9
  • Online ISBN 978-3-540-31935-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book