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Fuzzy XML Data Management (Studies in Fuzziness and Soft Computing, 311)
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Fuzzy XML Data Management (Studies in Fuzziness and Soft Computing, 311)
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Soft Computing in XML Data Management : Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642140092 ISBN 13: 9783642140099
Language: English
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 364 | Sprache: Englisch | Produktart: Bücher.
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Soft Computing in XML Data Management : Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642140092 ISBN 13: 9783642140099
Language: English
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Condition: Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: 2010 ] Publisher: Springer Pub Date: 7/8/2010 Binding: Hardcover Pages: 325 2010 edition.
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Soft Computing in XML Data Management: Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision (Studies in Fuzziness and Soft Computing, 255)
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Soft Computing in XML Data Management: Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision (Studies in Fuzziness and Soft Computing, 255)
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Soft Computing in XML Data Management
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 2010, 2010
ISBN 10: 3642140092 ISBN 13: 9783642140099
Language: English
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Add to basketBuch. Condition: Neu. Neuware -Being the de-facto standard for data representation and exchange over the Web, XML (Extensible Markup Language) allows the easy development of applications that exchange data over the Web. This creates a set of data management requirements involving XML. XML and related standards have been extensively applied in many business, service, and multimedia applications. As a result, a large volume of data is managed today directly in XML format. With the wide and in-depth utilization of XML in diverse application domains, some particularities of data management in concrete applications emerge, which challenge current XML technology. This is very similar with the situation that some database models and special database systems have been developed so that databases can satisfy the need of managing diverse data well. In data- and knowledge- intensive application systems, one of the challenges can be generalized as the need to handle imprecise and uncertain information in XML data management by applying fuzzy logic, probability, and more generally soft computing. Currently, two kinds of situations are roughly identified in soft computing for XML data management: applying soft computing for the intelligent processing of classical XML data; applying soft computing for the representation and processing of imprecise and uncertain XML data. For the former, soft computing can be used for flexible query of XML document as well as XML data mining, XML duplicate detection, and so on.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 364 pp. Englisch.
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Soft Computing in XML Data Management : Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision
Published by Springer Berlin Heidelberg, 2012
ISBN 10: 3642264018 ISBN 13: 9783642264016
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Being the de-facto standard for data representation and exchange over the Web, XML (Extensible Markup Language) allows the easy development of applications that exchange data over the Web. This creates a set of data management requirements involving XML. XML and related standards have been extensively applied in many business, service, and multimedia applications. As a result, a large volume of data is managed today directly in XML format. With the wide and in-depth utilization of XML in diverse application domains, some particularities of data management in concrete applications emerge, which challenge current XML technology. This is very similar with the situation that some database models and special database systems have been developed so that databases can satisfy the need of managing diverse data well. In data- and knowledge- intensive application systems, one of the challenges can be generalized as the need to handle imprecise and uncertain information in XML data management by applying fuzzy logic, probability, and more generally soft computing. Currently, two kinds of situations are roughly identified in soft computing for XML data management: applying soft computing for the intelligent processing of classical XML data; applying soft computing for the representation and processing of imprecise and uncertain XML data. For the former, soft computing can be used for flexible query of XML document as well as XML data mining, XML duplicate detection, and so on.
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Soft Computing in XML Data Management : Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision
Published by Springer Berlin Heidelberg, 2010
ISBN 10: 3642140092 ISBN 13: 9783642140099
Language: English
US$ 193.07
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Being the de-facto standard for data representation and exchange over the Web, XML (Extensible Markup Language) allows the easy development of applications that exchange data over the Web. This creates a set of data management requirements involving XML. XML and related standards have been extensively applied in many business, service, and multimedia applications. As a result, a large volume of data is managed today directly in XML format. With the wide and in-depth utilization of XML in diverse application domains, some particularities of data management in concrete applications emerge, which challenge current XML technology. This is very similar with the situation that some database models and special database systems have been developed so that databases can satisfy the need of managing diverse data well. In data- and knowledge- intensive application systems, one of the challenges can be generalized as the need to handle imprecise and uncertain information in XML data management by applying fuzzy logic, probability, and more generally soft computing. Currently, two kinds of situations are roughly identified in soft computing for XML data management: applying soft computing for the intelligent processing of classical XML data; applying soft computing for the representation and processing of imprecise and uncertain XML data. For the former, soft computing can be used for flexible query of XML document as well as XML data mining, XML duplicate detection, and so on.
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US$ 272.64
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Add to basketPaperback. Condition: Brand New. 2010 edition. 325 pages. 9.20x6.10x0.80 inches. In Stock.
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US$ 274.65
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Add to basketHardcover. Condition: Brand New. 325 pages. 9.25x6.25x0.75 inches. In Stock.
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Add to basketCondition: New. Print on Demand pp. 221.
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Add to basketCondition: New. PRINT ON DEMAND pp. 221.
