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Lecture Notes in Computer Science

Intelligent Data Engineering and Automated Learning - IDEAL 2004

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

Editors: Yang, Zhen Rong, Everson, Richard, Yin, Hujun (Eds.)

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  • ISBN 978-3-540-28651-6
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Softcover 119,59 €
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  • ISBN 978-3-540-22881-3
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Table of contents (125 chapters)

  • Modelling and Clustering of Gene Expressions Using RBFs and a Shape Similarity Metric

    Möller-Levet, Carla S. (et al.)

    Pages 1-10

    Preview Buy Chapter 30,19 €
  • A Novel Hybrid GA/SVM System for Protein Sequences Classification

    Zhao, Xing-Ming (et al.)

    Pages 11-16

    Preview Buy Chapter 30,19 €
  • Building Genetic Networks for Gene Expression Patterns

    Ching, Wai-Ki (et al.)

    Pages 17-24

    Preview Buy Chapter 30,19 €
  • SVM-Based Classification of Distant Proteins Using Hierarchical Motifs

    Mikolajczack, Jérôme (et al.)

    Pages 25-30

    Preview Buy Chapter 30,19 €
  • Knowledge Discovery in Lymphoma Cancer from Gene–Expression

    Aguilar-Ruiz, Jesús S. (et al.)

    Pages 31-38

    Preview Buy Chapter 30,19 €

Buy this book

eBook 95,19 €
price for Spain (gross)
  • ISBN 978-3-540-28651-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 119,59 €
price for Spain (gross)
  • ISBN 978-3-540-22881-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Intelligent Data Engineering and Automated Learning - IDEAL 2004
Book Subtitle
5th International Conference, Exeter, UK, August 25-27, 2004, Proceedings
Editors
  • Zhen Rong Yang
  • Richard Everson
  • Hujun Yin
Series Title
Lecture Notes in Computer Science
Series Volume
3177
Copyright
2004
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-28651-6
DOI
10.1007/b99975
Softcover ISBN
978-3-540-22881-3
Series ISSN
0302-9743
Edition Number
1
Number of Pages
XXXVI, 854
Topics