Advances in Intelligent Information Systems

  • Zbigniew W. Ras
  • Li-Shiang Tsay

Part of the Studies in Computational Intelligence book series (SCI, volume 265)

Table of contents

  1. Front Matter
  2. Classification

    1. Front Matter
      Pages 1-1
    2. François Rioult, Bruno Zanuttini, Bruno Crémilleux
      Pages 3-25
    3. Djamel A. Zighed, Gilbert Ritschard, Simon Marcellin
      Pages 27-42
    4. Salvatore Greco, Benedetto Matarazzo, Roman Słowiński
      Pages 43-78
  3. Approximation & Data Security

    1. Front Matter
      Pages 79-79
    2. Nicola Di Mauro, Teresa M. A. Basile, Stefano Ferilli, Floriana Esposito
      Pages 81-109
    3. Fabio Massacci, John Mylopoulos, Nicola Zannone
      Pages 147-174
    4. Muzammil M. Baig, Jiuyong Li, Jixue Liu, Hua Wang, Junhu Wang
      Pages 175-193
  4. Knowledge Management

    1. Front Matter
      Pages 195-195
    2. Carlo Meghini, Nicolas Spyratos
      Pages 197-224
    3. C. J. Butz, W. Yan, P. Lingras, Y. Y. Yao
      Pages 245-257
    4. Angelina A. Tzacheva
      Pages 259-271
  5. Applications

    1. Front Matter
      Pages 273-273
    2. Stephanie Elzer, Edward Schwartz, Sandra Carberry, Daniel Chester, Seniz Demir, Peng Wu
      Pages 275-298
    3. Jitender S. Deogun, William Spaulding
      Pages 299-333
    4. Wenxin Jiang, Xin Zhang, Amanda Cohen, Zbigniew W. Raś
      Pages 335-356
  6. Back Matter

About this book


Intelligent Information Systems (IIS) can be defined as the next generation of Information Systems (IS) developed as a result of integration of AI and database (DB) technologies. IIS embody knowledge that allows them to exhibit intelligent behavior, allows them to cooperate with users and other systems in problem solving, discovery, retrieval, and manipulation of data and knowledge. For any IIS to serve its purpose, the information must be available when it is needed. This means that the computing systems used to store data and process the information, and the security controls used to protect it must be functioning correctly. This book covers some of the above topics and it is divided into four sections: Classification, Approximation and Data Security, Knowledge Management, and Application of IIS to medical and music domains.


Bayesian network Computational Intelligence Information Systems Intelligent Systems artificial intelligence genome knowledge learning modeling ontology problem solving supervised learning

Editors and affiliations

  • Zbigniew W. Ras
    • 1
  • Li-Shiang Tsay
    • 2
  1. 1.Department of Computer ScienceUniversity of North CarolinaCharlotteUSA
  2. 2.Department of Electronics, Computer & Information TechnologyNC A &T State UniversityGreensboroUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-05182-1
  • Online ISBN 978-3-642-05183-8
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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