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

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