Advances in data management

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 i...

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Other Authors: Raś, Zbigniew., Dardzinska, Agnieszka., SpringerLink (Online service)
Format: eBook
Language: English
Published: Berlin : Springer, ©2009.
Berlin : [2009]
Physical Description: 1 online resource (xiii, 393 pages) : illustrations.
Series: Studies in computational intelligence ; v. 223.
Subjects:
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.
Item Description: Includes bibliographical references and index.
Part I: Information Retrieval and Web Intelligence -- Part II: Knowledge Discovery -- Part III: Information Integration and Data Security -- Part IV: Intelligent Agents -- Part V: Data Management in Medical Domain.
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.
English.
Physical Description: 1 online resource (xiii, 393 pages) : illustrations.
Bibliography: Includes bibliographical references and index.
ISBN: 9783642021909
3642021905
ISSN: 1860-949X ;