Intelligent Data Engineering and Automated Learning - IDEAL 2011

12th International Conference, Norwich, UK, September 7-9, 2011. Proceedings

  • Hujun Yin
  • Wenjia Wang
  • Victor Rayward-Smith

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6936)

Table of contents

  1. Front Matter
  2. Alex Mace, Roberto Sommariva, Zoë Fleming, Wenjia Wang
    Pages 1-8
  3. Masato Shirai, Takao Miura
    Pages 9-16
  4. Tadeusz Lasota, Zbigniew Telec, Grzegorz Trawiński, Bogdan Trawiński
    Pages 17-24
  5. Andrej Gisbrecht, Frank-Michael Schleif, Xibin Zhu, Barbara Hammer
    Pages 25-33
  6. Maria do Carmo Nicoletti, João R. Bertini Jr., Osvaldo Luiz de Oliveira
    Pages 34-41
  7. Luis Quesada, Fernando Berzal, Juan-Carlos Cubero
    Pages 50-57
  8. German Diaz-Sanchez, Ivan Piza-Davila, Guillermo Sanchez-Diaz, Miguel Mora-Gonzalez, Oscar Reyes-Cardenas, Abraham Cardenas-Tristan et al.
    Pages 58-65
  9. Oliver Beyer, Philipp Cimiano
    Pages 76-83
  10. Ying Wu, Thomas K. Doyle, Colin Fyfe
    Pages 84-91
  11. Luke Davis, Barry-John Theobald, Andoni Toms, Anthony Bagnall
    Pages 92-99
  12. Noura Al Moubayed, Andrei Petrovski, John McCall
    Pages 100-107
  13. Sandra García, David Quintana, Inés M. Galván, Pedro Isasi
    Pages 127-134
  14. Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle
    Pages 135-143
  15. Aftab Khan, Hujun Yin
    Pages 144-151
  16. Leandro A. Silva, José Alfredo F. Costa
    Pages 152-159

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 12th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2011, held in Norwich, UK, in September 2011. The 59 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.

Keywords

bioinformatics data mining genetic algorithms multi-objective particle swarm optimization unsupervised neural networks

Editors and affiliations

  • Hujun Yin
    • 1
  • Wenjia Wang
    • 2
  • Victor Rayward-Smith
    • 3
  1. 1.School of Electrical and Electronic EngineeringUniversity of ManchesterUK
  2. 2.School of Computing SciencesUniversity of East AngliaUK
  3. 3.University of East AngliaUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-23878-9
  • Copyright Information Springer-Verlag GmbH Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-23877-2
  • Online ISBN 978-3-642-23878-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book