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Soft Computing in XML Data Management - Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision (Hardcover, 2010 ed.) Loot Price: R4,292
Discovery Miles 42 920
Soft Computing in XML Data Management - Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer...

Soft Computing in XML Data Management - Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision (Hardcover, 2010 ed.)

Zongmin Ma, Li Yan

Series: Studies in Fuzziness and Soft Computing, 255

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Loot Price R4,292 Discovery Miles 42 920 | Repayment Terms: R402 pm x 12*

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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.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Fuzziness and Soft Computing, 255
Release date: July 2010
First published: 2010
Editors: Zongmin Ma • Li Yan
Dimensions: 235 x 155 x 23mm (L x W x T)
Format: Hardcover
Pages: 325
Edition: 2010 ed.
ISBN-13: 978-3-642-14009-9
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-642-14009-2
Barcode: 9783642140099

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