Advances in Data Management

  • Zbigniew W. Ras
  • Agnieszka Dardzinska

Part of the Studies in Computational Intelligence book series (SCI, volume 223)

Table of contents

  1. Front Matter
  2. Information Retrieval and Web Intelligence

    1. Front Matter
      Pages 1-1
    2. Piotr Kołaczkowski, Henryk Rybiński
      Pages 3-24
    3. Krishnaprasad Thirunarayan, Trivikram Immaneni
      Pages 25-48
    4. Sławomir Zadrożny, Janusz Kacprzyk
      Pages 49-66
    5. Yiyu Yao, Ning Zhong
      Pages 89-102
  3. Knowledge Discovery

    1. Front Matter
      Pages 103-103
    2. Rocio Alaiz-Rodríguez, Nathalie Japkowicz, Peter Tischer
      Pages 105-129
    3. Gilbert Ritschard, Alexis Gabadinho, Matthias Studer, Nicolas S. Müller
      Pages 155-175
  4. Information Integration and Data Security

    1. Front Matter
      Pages 201-201
    2. Paul El Khoury, Mohand-Saïd Hacid, Smriti Kumar Sinha, Emmanuel Coquery
      Pages 203-224
    3. H. Meziane, S. Benbernou, F. Leymann, M. P. Papazoglou
      Pages 225-247
    4. David A. Maluf, Christopher D. Knight
      Pages 249-274
  5. Intelligent Agents

    1. Front Matter
      Pages 275-275
    2. Yann Gripay, Frédérique Laforest, Jean-Marc Petit
      Pages 277-298
    3. Einoshin Suzuki, Hiroshi Hirai, Shigeru Takano
      Pages 299-310

About this book

Introduction

Data Management is the process of planning, coordinating and controlling
data resources. More often, applications need to store and search a large
amount of data. Managing Data has been continuously challenged
by demands from various areas and applications and has evolved in parallel
with advances in hardware and computing techniques.

This volume focuses on its recent advances and it is composed of five parts
and a total of eighteen chapters. The first part of the book contains five
contributions in the area of information retrieval & Web intelligence: a novel
approach to solving index selection problem, integrated retrieval from Web of
documents and data, bipolarity in database querying, deriving data summarization
through ontologies, and granular computing for Web intelligence.
The second part of the book contains four contributions in knowledge discovery area.
Its third part contains three contributions in information integration & data
security area. The remaining two parts of the book contain six contributions
in the area of intelligent agents and applications of data management
in medical domain.

Keywords

Bayesian network DBMS data mining data security database intelligence knowledge discovery ontology performance robot

Editors and affiliations

  • Zbigniew W. Ras
    • 1
  • Agnieszka Dardzinska
    • 2
  1. 1.College of Computing and InformaticsUniversity of North Carolina at CharlotteCharlotteUSA
  2. 2.Wydzial InformatykiPolitechnika BialostockaBialystokPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-02190-9
  • Copyright Information Springer Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-02189-3
  • Online ISBN 978-3-642-02190-9
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book
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