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  • © 2008

Intelligent Data Engineering and Automated Learning – IDEAL 2008

9th International Conference Daejeon, South Korea, November 2-5, 2008, Proceedings

Conference proceedings info: IDEAL 2008.

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Table of contents (66 papers)

  1. Front Matter

  2. Learning and Information Processing

    1. Proposal of Exploitation-Oriented Learning PS-r#

      • Kazuteru Miyazaki, Shigenobu Kobayashi
      Pages 1-8
    2. Logic Synthesis for FSMs Using Quantum Inspired Evolution

      • Marcos Paulo Mello Araujo, Nadia Nedjah, Luiza de Macedo Mourelle
      Pages 32-39
    3. A New Adaptive Strategy for Pruning and Adding Hidden Neurons during Training Artificial Neural Networks

      • Md. Monirul Islam, Md. Abdus Sattar, Md. Faijul Amin, Kazuyuki Murase
      Pages 40-48
    4. A Semi-fragile Watermark Scheme Based on the Logistic Chaos Sequence and Singular Value Decomposition

      • Jian Li, Bo Su, Shenghong Li, Shilin Wang, Danhong Yao
      Pages 57-64
    5. Distribution Feeder Load Balancing Using Support Vector Machines

      • J. A. Jordaan, M. W. Siti, A. A. Jimoh
      Pages 65-71
    6. Top-Down Object Color Biased Attention Using Growing Fuzzy Topology ART

      • Byungku Hwang, Sang-Woo Ban, Minho Lee
      Pages 96-103
    7. A Study on Human Gaze Estimation Using Screen Reflection

      • Nadeem Iqbal, Soo-Young Lee
      Pages 104-111
    8. A Novel GA-Taguchi-Based Feature Selection Method

      • Cheng-Hong Yang, Chi-Chun Huang, Kuo-Chuan Wu, Hsin-Yun Chang
      Pages 112-119
    9. Automatic Order of Data Points in RE Using Neural Networks

      • Xueming He, Chenggang Li, Yujin Hu, Rong Zhang, Simon X. Yang, Gauri S. Mittal
      Pages 128-139

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  1. Intelligent Data Engineering and Automated Learning – IDEAL 2008

About this book

IDEAL 2008 was the ninth IDEAL conference to take place; earlier editions were held in Hong Kong, the UK, Australia and Spain. This was the first time, though hopefully not the last time, that it took place in Daejeon, South Korea, during November 2–5, 2008. As the name suggests, the conference attracts researchers who are involved in either data engineering or learning or, increasingly, both. The former topic involves such aspects as data mining (or intelligent knowledge discovery from databases), infor- tion retrieval systems, data warehousing, speech/image/video processing, and mul- media data analysis. There has been a traditional strand of data engineering at IDEAL conferences which has been based on financial data management such as fraud det- tion, portfolio analysis, prediction and so on. This has more recently been joined by a strand devoted to bioinformatics, particularly neuroinformatics and gene expression analysis. Learning is the other major topic for these conferences and this is addressed by - searchers in artificial neural networks, machine learning, evolutionary algorithms, artificial immune systems, ant algorithms, probabilistic modelling, fuzzy systems and agent modelling. The core of all these algorithms is adaptation.

Editors and Affiliations

  • University of West Scotland, Paisley, Scotland

    Colin Fyfe

  • KAIST, Daejeon, Korea

    Dongsup Kim

  • Brain Science Research Center and Department of Bio & Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea

    Soo-Young Lee

  • School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access