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Soft Computing in XML Data Management - Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision (Paperback, 2010 ed.)
Loot Price: R4,248
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Soft Computing in XML Data Management - Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision (Paperback, 2010 ed.)
Series: Studies in Fuzziness and Soft Computing, 255
Expected to ship within 10 - 15 working days
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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.
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