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Springer Soft Computing in XML Data Management - Intelligent Systems

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Description

Soft Computing in XML Data Management explores how intelligent systems apply soft computing techniques to XML data challenges across decision making, data mining, web intelligence and computer vision. As the standard for data representation and exchange over the Web, XML enables seamless application development and data sharing, creating unique management requirements in modern business, service and multimedia applications. This volume, part of the Studies in Fuzziness and Soft Computing series (255), addresses the particularities that emerge when managing large volumes of XML-formatted data in diverse application domains. The book bridges the gap between XML's widespread adoption and the sophisticated computational approaches needed to extract value from complex XML datasets, offering insights into applying soft computing methodologies to real-world XML management challenges.

Key Features

Covers soft computing applications in XML data management across multiple domains including decision making, data mining, and web intelligence.

Explores intelligent systems designed to handle the unique challenges of managing XML-formatted data in business and multimedia applications.

Part of the Studies in Fuzziness and Soft Computing series volume 255, providing academic depth from Springer publishing.

Addresses practical XML management requirements emerging from widespread adoption of XML in modern application development.

Integrates computer vision techniques with XML data processing for advanced intelligent system design.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
07 July 2010
Listed Since
08 June 2010

Barcode

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