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Intelligent Data Engineering and Automated Learning – IDEAL 2006

7th International Conference, Burgos, Spain, September 20-23, 2006. Proceedings

  • Emilio Corchado
  • Hujun Yin
  • Vicente Botti
  • Colin Fyfe

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4224)

Table of contents

  1. Front Matter
  2. Learning and Information Processing

    1. Xingye Dong, Houkuan Huang, Ping Chen
      Pages 25-32
    2. Zheng Rong Yang
      Pages 33-39
    3. Zhifeng Hao, Wen Wen, Xiaowei Yang, Jie Lu, Guangquan Zhang
      Pages 48-56
    4. Naohiro Ishii, Tsuyoshi Murai, Takahiro Yamada, Yongguang Bao
      Pages 57-64
    5. Risto Hakala, Timo Similä, Miki Sirola, Jukka Parviainen
      Pages 73-80
    6. G. Lebrun, O. Lezoray, C. Charrier, H. Cardot
      Pages 99-107
    7. G. Lebrun, O. Lezoray, C. Charrier, H. Cardot
      Pages 108-115
    8. Kazuho Watanabe, Motoki Shiga, Sumio Watanabe
      Pages 139-146
    9. Rafael E. Banchs, Hector Klie, Adolfo Rodriguez, Sunil G. Thomas, Mary F. Wheeler
      Pages 147-154
    10. Daisuke Haraki, Tomoya Suzuki, Tohru Ikeguchi
      Pages 155-162
    11. Sertan Girgin, Faruk Polat, Reda Alhajj
      Pages 163-171
    12. Segismundo S. Izquierdo, Luis R. Izquierdo
      Pages 172-182
    13. Yatong Zhou, Taiyi Zhang, Xiaohe Li
      Pages 183-190
    14. Roberto Therón, Juan Francisco De Paz
      Pages 191-198
    15. Dymitr Ruta, Detlef Nauck, Ben Azvine
      Pages 207-215
    16. José Villar, Adolfo Otero, José Otero, Luciano Sánchez
      Pages 232-240
    17. Marian Pen̄a, Colin Fyfe
      Pages 241-248
    18. Sabela Platero-Santos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
      Pages 249-256
    19. Sameer Singh, Jessica Wang
      Pages 257-264
    20. Eric Wai Ming Lee, Po Chi Lau, Kitty Kit Yan Yuen
      Pages 265-274
    21. Zhihui Li, Fenggang Huang, Yongmei Liu
      Pages 275-282
    22. Wesam Barbakh, Malcolm Crowe, Colin Fyfe
      Pages 283-290
    23. José Lopes, Sameer Singh
      Pages 291-297
    24. D. de la Mata-Moya, P. Jarabo-Amores, R. Vicen-Bueno, M. Rosa-Zurera, F. López-Ferreras
      Pages 298-305
    25. Enrique Alexandre, Lucas Cuadra, Lorena Álvarez, Manuel Rosa-Zurera, Francisco López-Ferreras
      Pages 306-313
    26. Pawel Majewski
      Pages 314-321
    27. Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Rubén Ruiz-Torrubiano, Ángel Valle
      Pages 322-329
    28. Isaac Martín de Diego, Javier M. Moguerza, Alberto Muñoz
      Pages 330-337
    29. Hyo-Jung Oh, Chung-Hee Lee, Changki Lee, Ji-Hyun Wang, Yi-Gyu Hwang, Hyeon-Jin Kim et al.
      Pages 346-354
    30. Yuehui Chen, Yaou Zhao
      Pages 355-362
    31. Takayuki Kimura, Tohru Ikeguchi
      Pages 363-370
    32. V. García, R. Alejo, J. S. Sánchez, J. M. Sotoca, R. A. Mollineda
      Pages 371-378
    33. Ali Karci, Bilal Alatas
      Pages 386-393
    34. Cristina Solares, Eduardo W. Vieira, Roberto Mínguez
      Pages 394-401
    35. Antonio Martín, Carlos León, Iñigo Monedero
      Pages 402-409

About these proceedings

Introduction

Since its establishment in Hong Kong in 1998,the international Intelligent Data Engineering and Automated Learning (IDEAL) conference has become a r- erence for researchers in both theoretical and practical aspects of learning and information processing, data mining, retrieval and management, bioinformatics and bio-inspired models, agents and hybrid systems and ?nancial engineering. The purpose of IDEAL conferences has been to provide a broad and interd- ciplinary forum for scientists, researchers, and practitioners in these areas from around the world. A special feature of IDEAL conferences is cross-disciplinary exchange of ideas in emerging topics and application in these areas. Data ana- sis and engineering and associated learning paradigms are playing increasingly important roles in an increasing number of applications and ?elds. The mul- disciplinary nature of contemporary research is pushing the boundaries and one of the principal aims of the IDEAL conferences is to promote interactions and collaborations across disciplines. This volume of Lecture Notes in Computer Science contains accepted - pers presented at IDEAL 2006 held at the University of Burgos, Spain, during, September 20–23, 2006. The conference received 557 submissions from over 40 countriesaroundtheworld,whichweresubsequentlyrefereedbytheProgramme Committeeandmanyadditionalreviewers.Afterrigorousreview,170top-quality papers were accepted and included in the proceedings. The acceptance rate was only 30%, which ensured an extremely high-quality standard of the conference. The buoyant number of submitted papers is a clear proof of the vitality and increased importance of the ?elds related to IDEAL, and is also an indication of the rising popularity of the IDEAL conferences.

Keywords

SAP algorithm algorithmic learning automated learning bioinformatics data management database learning classifier systems multi-agent syst ontology performance programming robot software agent visualization

Editors and affiliations

  • Emilio Corchado
    • 1
  • Hujun Yin
    • 2
  • Vicente Botti
    • 3
  • Colin Fyfe
    • 4
  1. 1.Escuela Politécnica Superior, GICAP Research GroupUniversidad de BurgoBurgosSpain
  2. 2.School of Electrical and Electronic EngineeringUniversity of ManchesterUK
  3. 3.Department of Information Systems and ComputationTechnical University of Valencia, Camino de VeraValenciaSpain
  4. 4.University of West ScotlandPaisleyScotland

Bibliographic information

  • DOI https://doi.org/10.1007/11875581
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-45485-4
  • Online ISBN 978-3-540-45487-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site