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  • Conference proceedings
  • © 2004

Intelligent Data Engineering and Automated Learning - IDEAL 2004

5th International Conference, Exeter, UK, August 25-27, 2004, Proceedings

Editors:

  1. Zheng Rong Yang

    1. School of Engineering, Computing, and Mathematics, University of Exeter, Exeter, UK

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  2. Hujun Yin

    1. School of Electrical and Electronic Engineering, University of Manchester, UK

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  3. Richard M. Everson

    1. School of Engineering, Computer Science and Mathematics, University of Exeter, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3177)

Conference series link(s): IDEAL: International Conference on Intelligent Data Engineering and Automated Learning

Conference proceedings info: IDEAL 2004.

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Table of contents (125 papers)

  1. Front Matter

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  2. Bioinformatics

    2. A Novel Hybrid GA/SVM System for Protein Sequences Classification

      • Xing-Ming Zhao, De-Shuang Huang, Yiu-ming Cheung, Hong-qiang Wang, Xin Huang
      Pages 11-16

    3. Building Genetic Networks for Gene Expression Patterns

      • Wai-Ki Ching, Eric S. Fung, Michael K. Ng
      Pages 17-24

    4. SVM-Based Classification of Distant Proteins Using Hierarchical Motifs

      • Jérôme Mikolajczack, Gérard Ramstein, Yannick Jacques
      Pages 25-30

    5. Knowledge Discovery in Lymphoma Cancer from Gene–Expression

      • Jesús S. Aguilar-Ruiz, Francisco Azuaje
      Pages 31-38

    6. A Method of Filtering Protein Surface Motifs Based on Similarity Among Local Surfaces

      • Nripendra Lal Shrestha, Youhei Kawaguchi, Tadasuke Nakagawa, Takenao Ohkawa
      Pages 39-45

    7. Qualified Predictions for Proteomics Pattern Diagnostics with Confidence Machines

      • Zhiyuan Luo, Tony Bellotti, Alex Gammerman
      Pages 46-51

    8. An Assessment of Feature Relevance in Predicting Protein Function from Sequence

      • Ali Al-Shahib, Chao He, Aik Choon Tan, Mark Girolami, David Gilbert
      Pages 52-57

    9. A New Artificial Immune System Algorithm for Clustering

      • Reda Younsi, Wenjia Wang
      Pages 58-64

    11. Unsupervised Dense Regions Discovery in DNA Microarray Data

      • Andy M. Yip, Edmond H. Wu, Michael K. Ng, Tony F. Chan
      Pages 71-77

    13. Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining

      • Jae-Hong Eom, Jeong-Ho Chang, Byoung-Tak Zhang
      Pages 85-91

    14. Exploring Dependencies Between Yeast Stress Genes and Their Regulators

      • Janne Nikkilä, Christophe Roos, Samuel Kaski
      Pages 92-98

    15. Poly-transformation

      • Ross D. King, Mohammed Ouali
      Pages 99-107

    17. The Effect of Image Compression on Classification and Storage Requirements in a High-Throughput Crystallization System

      • Ian Berry, Julie Wilson, Chris Mayo, Jon Diprose, Robert Esnouf
      Pages 117-124

    18. PromSearch: A Hybrid Approach to Human Core-Promoter Prediction

      • Byoung-Hee Kim, Seong-Bae Park, Byoung-Tak Zhang
      Pages 125-131

  3. Data Mining and Knowledge Engineering

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Other Volumes

  1. Intelligent Data Engineering and Automated Learning – IDEAL 2004

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Keywords

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Editors and Affiliations

  • School of Engineering, Computing, and Mathematics, University of Exeter, Exeter, UK

    Zheng Rong Yang

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

    Hujun Yin

  • School of Engineering, Computer Science and Mathematics, University of Exeter, UK

    Richard M. Everson

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Bibliographic Information

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Buy it now

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
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

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