Knowledge Acquisition: Approaches, Algorithms and Applications

Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, Hanoi, Vietnam, December 15-16, 2008, Revised Selected Papers

  • Debbie Richards
  • Byeong-Ho Kang
Conference proceedings PKAW 2008
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5465)

Table of contents

  1. Front Matter
  2. Machine Learning and Data Mining

    1. Yann Chevaleyre, Aydano Machado Pamponet, Jean-Daniel Zucker
      Pages 1-11
    2. Wei Fan, Yusuke Koyanagi, Koichi Asakura, Toyohide Watanabe
      Pages 12-26
    3. Nguyen Dang Binh, Thuy Thi Nguyen
      Pages 27-39
    4. Tri Thanh Nguyen Le, Hiep Xuan Huynh, Fabrice Guillet
      Pages 40-49
    5. Kouzou Ohara, Masahiro Hara, Kiyoto Takabayashi, Hiroshi Motoda, Takashi Washio
      Pages 50-60
  3. Incremental Knowledge Acquisition

    1. Ivan Bindoff, Tristan Ling, Byeong Ho Kang
      Pages 76-90
  4. Web-Based Techniques and Application

    1. Peter Eklund, Jon Ducrou
      Pages 118-121
    2. Takayasu Fushimi, Takashi Kawazoe, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
      Pages 122-136
    3. Ahmad Nadzri Muhammad Nasir, Ali Selamat, Md. Hafiz Selamat
      Pages 137-146
    4. Juana María Ruiz-Martínez, Dagoberto Castellanos-Nieves, Rafael Valencia-García, Jesualdo Tomás Fernández-Breis, Francisco García-Sánchez, Pedro José Vivancos-Vicente et al.
      Pages 147-160
    5. Hiroshi Uehara, Kenichi Yoshida
      Pages 173-182
  5. Domain Specific Knowledge Acquisition Methods and Applications

    1. Aida Suzana Sukiam, Azizah Abdul Rahman, Wardah Zainal Abidin
      Pages 198-207
    2. Kenichi Takahashi, Hiroaki Ueda
      Pages 208-217
    3. Meredith Taylor, Debbie Richards
      Pages 218-230

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-workshop proceedings of the 2008 Pacific Rim Knowledge Acquisition Workshop, PKAW 2008, held in Hanoi, Vietnam, in December 2008 as part of 10th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2008.

The 20 revised papers presented were carefully reviewed and selected from 57 submissions and went through two rounds of reviewing and improvement. The papers are organized in topical sections on machine learning and data mining, incremental knowledge acquisition, web-based techniques and applications, as well as domain specific knowledge acquisition methods and applications.

Keywords

artificial immune systems association rules classification data mining data semantics database database creation face recognition formal concept analysis general elections hidden context information retrieval knowledge ac machine learning reinforcement learning

Editors and affiliations

  • Debbie Richards
    • 1
  • Byeong-Ho Kang
    • 2
  1. 1.Computing Department, Division of Information and Communication SciencesMacquarie UniversitySydneyAustralia
  2. 2.School of Computing ad Information SystemsUniversity of Tasmania , LauncetonTasmaniaAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-01715-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-01714-8
  • Online ISBN 978-3-642-01715-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349