Advances in Intelligent Information and Database Systems

  • Ngoc Thanh Nguyen
  • Radosław Katarzyniak
  • Shyi-Ming Chen

Part of the Studies in Computational Intelligence book series (SCI, volume 283)

Table of contents

  1. Front Matter
  2. Information Retrieval and Management

    1. Front Matter
      Pages 1-1
    2. Tuoi T. Phan, Thanh C. Nguyen, Thuy N. T. Huynh
      Pages 29-40
    3. Marcin Gorawski, Rafal Malczok
      Pages 53-65
    4. Ondrej Krejcar, Dalibor Janckulik, Leona Motalova, Karel Musil, Marek Penhaker
      Pages 67-78
    5. Sally Jo Cunningham, David Bainbridge
      Pages 79-88
    6. Verayuth Lertnattee, Sinthop Chomya, Virach Sornlertlamvanich
      Pages 99-110
    7. Dariusz Ceglarek, Konstanty Haniewicz, Wojciech Rutkowski
      Pages 111-121
  3. Service Composition and User-Centered Approach

    1. Front Matter
      Pages 123-123
    2. Min-Feng Wang, Meng-Feng Tsai, Cheng-Hsien Tang, Jia-Ying Hu
      Pages 125-131
    3. Anh Tuan Truong, Quynh Chi Truong, Tran Khanh Dang
      Pages 133-144
    4. Amirreza Tahamtan, Johann Eder
      Pages 145-156
    5. Mariusz Chmielewski, Andrzej Gałka
      Pages 157-168

About this book


The book consists of 32 extended chapters which have been based on selected submissions to the poster session organized during the 2nd Asian Conference on Intelligent Information and Database Systems (24-26 March 2010 in Hue, Vietnam). The book is organized into four parts devoted to information retrieval and management, service composition and user-centered approach, data mining and knowledge extraction, and computational intelligence, respectively. All chapters in the book discuss theoretical and practical issues related to integration of artificial intelligence and database technologies in order to develop new classes of intelligent information systems. Such combination of artificial intelligence and database technologies is a fast growing subfield of modern computer science, important due to the constant development of networked information systems. New global multimedia systems used by heterogeneous populations call for these developments. The editors hope that the book can be useful for graduate and PhD students of computer science, as well as for mature academics, researchers and practitioners interested in effective application of artificial intelligence and database systems to modern information environments. It is the hope of the editors that readers of this volume can find many inspiring ideas and influential practical examples and use them in their future work.


artificial intelligence collective intelligence computational intelligence data mining database evolution heuristics knowledge multimedia neural network

Editors and affiliations

  • Ngoc Thanh Nguyen
    • 1
  • Radosław Katarzyniak
    • 1
  • Shyi-Ming Chen
    • 2
  1. 1.Institute of InformaticsWroclaw University of TechnologyWroclawPoland
  2. 2.Department of Computer Science and Information EngineeringNational Taiwan University of Science and TechnologyTaipeiTaiwan

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-12089-3
  • Online ISBN 978-3-642-12090-9
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book
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