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Intelligent Data Engineering and Automated Learning – IDEAL 2010

11th International Conference, Paisley, UK, September 1-3, 2010. Proceedings

  • Colin Fyfe
  • Peter Tino
  • Darryl Charles
  • Cesar Garcia-Osorio
  • Hujun Yin

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6283)

Table of contents

  1. Front Matter
  2. Aida de Haro-García, Juan Antonio Romero del Castillo, Nicolás García-Pedrajas
    Pages 1-12
  3. Carsten Elfers, Mirko Horstmann, Karsten Sohr, Otthein Herzog
    Pages 13-20
  4. Frank-Michael Schleif, Thomas Villmann, Barbara Hammer, Petra Schneider, Michael Biehl
    Pages 21-28
  5. Mônica Sakuray Pais, Júlio César Ferreira, Marconi Batista Teixeira, Keiji Yamanaka, Gilberto Arantes Carrijo
    Pages 29-36
  6. François Petitjean, Pierre Gançarski, Florent Masseglia, Germain Forestier
    Pages 45-52
  7. Takashi Yanagisawa, Takao Miura, Isamu Shioya
    Pages 53-62
  8. Hisashi Koga, Tsuji Tomokazu, Takanori Yokoyama, Toshinori Watanabe
    Pages 86-93
  9. Naohiro Ishii, Yuichi Morioka, Hiroaki Kimura, Yongguang Bao
    Pages 94-101
  10. Andrea Guidali, Elisabetta Binaghi, Mauro Guglielmin, Marco Pascale
    Pages 110-117
  11. Clinton Cohagan, Jerzy W. Grzymala-Busse, Zdzislaw S. Hippe
    Pages 118-125
  12. Jonathan J. Pittard, Alan L. Tharp
    Pages 126-136
  13. Jose-Luis Poza-Luján, Juan-Luis Posadas-Yagüe, Jose-Enrique Simó-Ten
    Pages 137-144
  14. Li-Jen Chien, Yuh-Jye Lee, Zhi-Peng Kao, Chih-Cheng Chang
    Pages 145-152
  15. Yu Fujimoto, Noboru Murata
    Pages 153-161
  16. Ricardo Quislant, Eladio Gutierrez, Oscar Plata, Emilio L. Zapata
    Pages 162-169
  17. Marisa B. Figueiredo, Ana de Almeida, Bernardete Ribeiro, António Martins
    Pages 210-217
  18. Maria F. O’Connor, Arthur Hughes, Chaoxin Zheng, Anthony Davies, Dermot Kelleher, Khurshid Ahmad
    Pages 218-225
  19. M. A. Esseghir, Gilles Goncalves, Yahya Slimani
    Pages 226-233
  20. Reda Younsi, Anthony Bagnall
    Pages 234-241
  21. Włodzimierz Moczurad
    Pages 242-250
  22. Ana Granados, Rafael Martínez, David Camacho, Francisco de Borja Rodríguez
    Pages 259-266
  23. Marzena Kryszkiewicz, Piotr Lasek
    Pages 284-291
  24. Marcin Gorawski, Sławomir Bańkowski, Michał Gorawski
    Pages 292-299
  25. Malik Magdon-Ismail, Jonathan T. Purnell
    Pages 300-307
  26. Gislaine M. Nalepa, Bráulio C. Ávila, Fabrício Enembreck, Edson E. Scalabrin
    Pages 308-315
  27. Hsing-Kuo Pao, Hong-Yi Lin, Kuan-Ta Chen, Junaidillah Fadlil
    Pages 316-323
  28. Qi H. Pan, Fedja Hadzic, Tharam S. Dillon
    Pages 324-333
  29. José Alfredo F. Costa
    Pages 334-343
  30. Maciej Grzenda, Deepak Thukral
    Pages 379-386
  31. Back Matter

About these proceedings

Introduction

The IDEAL conference has become a unique, established and broad interdisciplinary forum for experts, researchers and practitioners in many fields to interact with each other and with leading academics and industries in the areas of machine learning, information processing, data mining, knowledge management, bio-informatics, neu- informatics, bio-inspired models, agents and distributed systems, and hybrid systems. This volume contains the papers presented at the 11th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2010), which was held September 1–3, 2010 in the University of the West of Scotland, on its Paisley campus, 15 kilometres from the city of Glasgow, Scotland. All submissions were strictly pe- reviewed by the Programme Committee and only the papers judged with sufficient quality and novelty were accepted and included in the proceedings. The IDEAL conferences continue to evolve and this year’s conference was no exc- tion. The conference papers cover a wide variety of topics which can be classified by technique, aim or application. The techniques include evolutionary algorithms, artificial neural networks, association rules, probabilistic modelling, agent modelling, particle swarm optimization and kernel methods. The aims include regression, classification, clustering and generic data mining. The applications include biological information processing, text processing, physical systems control, video analysis and time series analysis.

Keywords

bioinformatics computational intelligence data mining evolutionary algorithms knowledge discovery learning medical diagnosis

Editors and affiliations

  • Colin Fyfe
    • 1
  • Peter Tino
    • 2
  • Darryl Charles
    • 3
  • Cesar Garcia-Osorio
    • 4
  • Hujun Yin
    • 5
  1. 1.School of ComputingUniversity of the West of ScotlandPaisleyUK
  2. 2.University of BirminghamBirminghamUK
  3. 3.University of UlsterColeraineUK
  4. 4.Universidad de BurgosBurgosSpain
  5. 5.School of Electrical and Electronic EngineeringUniversity of ManchesterManchesterUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-15381-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-15380-8
  • Online ISBN 978-3-642-15381-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site