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  • Soft Computing in XML Data Management: Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision

    Soft Computing in XML Data Management by Ma, Zongmin; Yan, Li;

    Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision

    Series: Studies in Fuzziness and Soft Computing; 255;

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      • Publisher's listprice EUR 160.49
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        66 563 Ft (63 393 Ft + 5% VAT)
      • Discount 20% (cc. 13 313 Ft off)
      • Discounted price 53 250 Ft (50 714 Ft + 5% VAT)

    66 563 Ft

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    printed on demand

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    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 2010
    • Publisher Springer Berlin Heidelberg
    • Date of Publication 5 September 2012
    • Number of Volumes 1 pieces, Previously published in hardcover

    • ISBN 9783642264016
    • Binding Paperback
    • See also 9783642140099
    • No. of pages325 pages
    • Size 235x155 mm
    • Weight 557 g
    • Language English
    • Illustrations 325 p. 108 illus. Illustrations, black & white
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    Long description:

    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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    Table of Contents:

    Uncertainty in XML.- An XML Schema for Managing Fuzzy Documents.- Formal Translation from Fuzzy XML to Fuzzy Nested Relational Database Schema.- Human Centric Data Representation: From Fuzzy Relational Databases into Fuzzy XML.- Data Integration Using Uncertain XML.- Flexibility in XML Data Management.- Exploiting Vague Queries to Collect Data from Heterogeneous XML Sources.- Fuzzy XQuery.- Attractive Interface for XML: Convincing Naive Users to Go Online.- An Overview of XML Duplicate Detection Algorithms.- Developments and Applications.- Fuzzy-EPC Markup Language: XML Based Interchange Formats for Fuzzy Process Models.- An XML Based Framework for Merging Incomplete and Inconsistent Statistical Information from Clinical Trials.- Aliança: A Proposal for a Fuzzy Database Architecture Incorporating XML.- Leveraging Semantic Approximations in Heterogeneous XML Data Sharing Networks: The SUNRISE Approach.

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