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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
  5. Biomedical Domains

    1. Lior Lukov, Sanjay Chawla, W. Bret Church
      Pages 155-161
    2. Woo-Cheol Kim, Sanghyun Park, Jung-Im Won, Sang-Wook Kim, Jee-Hee Yoon
      Pages 162-172
    3. Min Song, Il-Yeol Song, Xiaohua Hu, Robert B. Allen
      Pages 173-179
    4. Thai Quang Tung, Doheon Lee, Dae-Won Kim, Jong-Tae Lim
      Pages 180-185
    5. Richard De Veaux, Thu Hoàng
      Pages 186-191
    6. Jung-Im Won, Jee-Hee Yoon, Sanghyun Park, Sang-Wook Kim
      Pages 203-215
  6. Classification and Ranking

    1. Frans Coenen, Paul Leng, Lu Zhang
      Pages 216-225
    2. Gerrit K. Janssens, Kenneth Sösrensen, Arthur Limère, Koen Vanhoof
      Pages 234-239
    3. Rafal Rak, Wojciech Stach, Osmar R. Zaïane, Maria-Luiza Antonie
      Pages 240-248
    4. Arit Thammano, Asavin Meengen
      Pages 249-255
    5. Weiping Ge, Wei Wang, Xiaorong Li, Baile Shi
      Pages 256-261
    6. Cuong Anh Le, Van-Nam Huynh, Akira Shimazu
      Pages 262-268
    7. Kazuko Takahashi, Hiroya Takamura, Manabu Okumura
      Pages 269-279
    8. Cao D. Nguyen, Tran A. Dung, Tru H. Cao
      Pages 290-300
    9. Shotaro Matsumoto, Hiroya Takamura, Manabu Okumura
      Pages 301-311
    10. Nguyen Sinh Hoa, Nguyen Hung Son
      Pages 312-322
    11. Yi-Hong Chu, Kun-Ta Chuang, Ming-Syan Chen
      Pages 323-332
  7. Clustering

    1. Jessica Lin, Michai Vlachos, Eamonn Keogh, Dimitrios Gunopulos, Jianwei Liu, Shoujian Yu et al.
      Pages 333-342
    2. Zheng Liu, Jeffrey Xu Yu, Xuemin Lin, Hongjun Lu, Wei Wang
      Pages 343-353
    3. Satu Elisa Schaeffer
      Pages 354-360
    4. Shuigeng Zhou, Yue Zhao, Jihong Guan, Joshua Huang
      Pages 361-371
    5. Jun Liu, Kotagiri Ramamohanarao
      Pages 372-377
    6. Andy M. Yip, Chris Ding, Tony F. Chan
      Pages 388-398
    7. Georg Pölzlbauer, Andreas Rauber, Michael Dittenbach
      Pages 399-409
    8. Jing Gao, Jianzhong Li, Zhaogong Zhang, Pang-Ning Tan
      Pages 420-425

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
  • Buy this book on publisher's site