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Knowledge Acquisition: Approaches, Algorithms and Applications

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

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Debbie Richards

    1. Computing Department, Division of Information and Communication Sciences, Macquarie University, Sydney, Australia

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  2. Byeong-Ho Kang

    1. School of Computing ad Information Systems, University of Tasmania , Launceton, Tasmania, Australia

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5465)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: PKAW 2008.

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Table of contents (20 papers)

  1. Front Matter

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  2. Machine Learning and Data Mining

    1. Experiments with Adaptive Transfer Rate in Reinforcement Learning

      • Yann Chevaleyre, Aydano Machado Pamponet, Jean-Daniel Zucker
      Pages 1-11

    2. Clustering over Evolving Data Streams Based on Online Recent-Biased Approximation

      • Wei Fan, Yusuke Koyanagi, Koichi Asakura, Toyohide Watanabe
      Pages 12-26

    3. Automatic Database Creation and Object’s Model Learning

      • Nguyen Dang Binh, Thuy Thi Nguyen
      Pages 27-39

    4. Finding the Most Interesting Association Rules by Aggregating Objective Interestingness Measures

      • Tri Thanh Nguyen Le, Hiep Xuan Huynh, Fabrice Guillet
      Pages 40-49

    5. Pruning Strategies Based on the Upper Bound of Information Gain for Discriminative Subgraph Mining

      • Kouzou Ohara, Masahiro Hara, Kiyoto Takabayashi, Hiroshi Motoda, Takashi Washio
      Pages 50-60

    6. A Novel Classification Algorithm Based on Association Rules Mining

      • Bay Vo, Bac Le
      Pages 61-75

  3. Incremental Knowledge Acquisition

    1. Multiple Classification Ripple Round Rules: A Preliminary Study

      • Ivan Bindoff, Tristan Ling, Byeong Ho Kang
      Pages 76-90

    2. Generalising Symbolic Knowledge in Online Classification and Prediction

      • Richard Dazeley, Byeong-Ho Kang
      Pages 91-108

  4. Web-Based Techniques and Application

    1. Using Formal Concept Analysis towards Cooperative E-Learning

      • Ghassan Beydoun
      Pages 109-117

    2. Navigation and Annotation with Formal Concept Analysis

      • Peter Eklund, Jon Ducrou
      Pages 118-121

    3. What Does an Information Diffusion Model Tell about Social Network Structure?

      • Takayasu Fushimi, Takashi Kawazoe, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
      Pages 122-136

    4. Web Mining for Malaysia’s Political Social Networks Using Artificial Immune System

      • Ahmad Nadzri Muhammad Nasir, Ali Selamat, Md. Hafiz Selamat
      Pages 137-146

    5. Accessing Touristic Knowledge Bases through a Natural Language Interface

      • 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

    6. ItemSpider: Social Networking Service That Extracts Personal Character from Individual’s Book Information

      • Tetsuya Tsukamoto, Hiroyuki Nishiyama, Hayato Ohwada
      Pages 161-172

    7. Acquiring Marketing Knowledge from Internet Bulletin Boards

      • Hiroshi Uehara, Kenichi Yoshida
      Pages 173-182

  5. Domain Specific Knowledge Acquisition Methods and Applications

    1. A Design for Library Marketing System and Its Possible Applications

      • Toshiro Minami
      Pages 183-197

    2. Knowledge Audit on Special Children Communities

      • Aida Suzana Sukiam, Azizah Abdul Rahman, Wardah Zainal Abidin
      Pages 198-207

    3. A Dance Synthesis System Using Motion Capture Data

      • Kenichi Takahashi, Hiroaki Ueda
      Pages 208-217

    4. Discovering Areas of Expertise from Publication Data

      • Meredith Taylor, Debbie Richards
      Pages 218-230
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  1. Knowledge Acquisition: Approaches, Algorithms and Applications

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About this book

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.

Editors and Affiliations

  • Computing Department, Division of Information and Communication Sciences, Macquarie University, Sydney, Australia

    Debbie Richards

  • School of Computing ad Information Systems, University of Tasmania , Launceton, Tasmania, Australia

    Byeong-Ho Kang

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