Advances in Knowledge Discovery and Data Mining

13th Pacific-Asia Conference, PAKDD 2009 Bangkok, Thailand, April 27-30, 2009 Proceedings

  • Thanaruk Theeramunkong
  • Boonserm Kijsirikul
  • Nick Cercone
  • Tu-Bao Ho
Conference proceedings PAKDD 2009
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5476)

Table of contents

  1. Front Matter
    PDF

  2. Keynote Speeches

    1. KDD for BSN – Towards the Future of Pervasive Sensing
      Guang-Zhong Yang
      Pages 1-1
      PDF
    2. Finding Hidden Structures in Relational Databases
      Jeffrey Xu Yu
      Pages 2-2
      PDF
    3. The Future of Search: An Online Content Perspective
      Andrew Tomkins
      Pages 3-3
      PDF

  3. Regular Papers

    1. DTU: A Decision Tree for Uncertain Data
      Biao Qin, Yuni Xia, Fang Li
      Pages 4-15
    2. Efficient Privacy-Preserving Link Discovery
      Xiaoyun He, Jaideep Vaidya, Basit Shafiq, Nabil Adam, Evimaria Terzi, Tyrone Grandison
      Pages 16-27
    3. On Link Privacy in Randomizing Social Networks
      Xiaowei Ying, Xintao Wu
      Pages 28-39
    4. Sentence-Level Novelty Detection in English and Malay
      Agus T. Kwee, Flora S. Tsai, Wenyin Tang
      Pages 40-51
    5. Text Categorization Using Fuzzy Proximal SVM and Distributional Clustering of Words
      Mani Arun Kumar, Madan Gopal
      Pages 52-61
    6. Cool Blog Classification from Positive and Unlabeled Examples
      Kritsada Sriphaew, Hiroya Takamura, Manabu Okumura
      Pages 62-73
    7. Thai Word Segmentation with Hidden Markov Model and Decision Tree
      Poramin Bheganan, Richi Nayak, Yue Xu
      Pages 74-85
    8. An Efficient Method for Generating, Storing and Matching Features for Text Mining
      Shing-Kit Chan, Wai Lam
      Pages 86-97
    9. Robust Graph Hyperparameter Learning for Graph Based Semi-supervised Classification
      Krikamol Muandet, Sanparith Marukatat, Cholwich Nattee
      Pages 98-109
    10. Regularized Local Reconstruction for Clustering
      Jun Sun, Zhiyong Shen, Bai Su, Yidong Shen
      Pages 110-121
    11. Clustering with Lower Bound on Similarity
      Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi, Mohammed J. Zaki
      Pages 122-133
    12. Approximate Spectral Clustering
      Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao, James Bezdek
      Pages 134-146
    13. An Integration of Fuzzy Association Rules and WordNet for Document Clustering
      Chun-Ling Chen, Frank S. C. Tseng, Tyne Liang
      Pages 147-159
    14. Nonlinear Data Analysis Using a New Hybrid Data Clustering Algorithm
      Ureerat Wattanachon, Jakkarin Suksawatchon, Chidchanok Lursinsap
      Pages 160-171
    15. A Polynomial-Delay Polynomial-Space Algorithm for Extracting Frequent Diamond Episodes from Event Sequences
      Takashi Katoh, Hiroki Arimura, Kouichi Hirata
      Pages 172-183
    16. A Statistical Approach for Binary Vectors Modeling and Clustering
      Nizar Bouguila, Khalid Daoudi
      Pages 184-195

Other volumes

  1. Advances in Knowledge Discovery and Data Mining
    13th Pacific-Asia Conference, PAKDD 2009 Bangkok, Thailand, April 27-30, 2009 Proceedings
  2. New Frontiers in Applied Data Mining
    PAKDD 2009 International Workshops, Bangkok, Thailand, April 27-30, 2009. Revised Selected Papers

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, held in Bangkok, Thailand, in April 2009.

The 39 revised full papers and 73 revised short papers presented together with 3 keynote talks were carefully reviewed and selected from 338 submissions. The papers present 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, automatic scientific discovery, data visualization, causal induction, and knowledge-based systems.

Keywords

data mining data warehouse database databases knowledge knowledge discovery knowledge-based system knowledge-based systems learning machine learning statistics visualization warehousing

Editors and affiliations

  • Thanaruk Theeramunkong
    • 1
  • Boonserm Kijsirikul
    • 2
  • Nick Cercone
    • 3
  • Tu-Bao Ho
    • 4
  1. 1.Sirindhorn International Institute of TechnologyThammasat UniversityBangkadi, MuangThailand
  2. 2.Dept. of Computer Engineering, Faculty of EngineeringChulalongkorn UniversityBangkokThailand
  3. 3.Faculty of Science & EngineeringYork UniversityTorontoCanada
  4. 4.School of Knowledge ScienceJapan Advanced Institute of Science and TechnologyIshikawaJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-01307-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-01306-5
  • Online ISBN 978-3-642-01307-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book