Advances in data management /

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Bibliographic Details
Imprint:Berlin : Springer, ©2009.
Description:1 online resource (xiii, 393 pages) : illustrations.
Language:English
Series:Studies in computational intelligence, 1860-949X ; v. 223
Studies in computational intelligence ; v. 223.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11072969
Hidden Bibliographic Details
Other authors / contributors:Raś, Zbigniew.
Dardzinska, Agnieszka.
ISBN:9783642021909
3642021905
9783642021893
3642021891
Notes:Includes bibliographical references and index.
Print version record.
Summary: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.
Other form:Print version: Advances in data management. Berlin ; London : Springer, 2009 9783642021893
Standard no.:10.1007/978-3-642-02190-9