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Springer Similarity Search: The Metric Space Approach - Database Systems

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Description

Similarity Search: The Metric Space Approach is a comprehensive guide to the metric space methodology for finding similar data across diverse applications. This volume, part of the Advances in Database Systems series (Volume 32), addresses the growing need for effective similarity searching in modern data processing environments. The book explores practical techniques for handling multimedia data including images and videos through query-by-example search, product catalogs with preference-based functionality, scientific data records from biochemical and medical analyses, and XML documents from heterogeneous Web and intranet sources. Written by Springer, a leading academic publisher, this text provides researchers and professionals with essential knowledge for implementing similarity search solutions in real-world scenarios where traditional database precision is insufficient.

Key Features

Volume 32 in the Advances in Database Systems series provides peer-reviewed research on metric space approaches to similarity searching.

Explores similarity search techniques for multimedia data including images, videos, and query-by-example search methodologies.

Covers application domains spanning product catalogs with preference-based search, scientific data records, and biochemical databases.

Addresses similarity searching in XML documents and heterogeneous data sources across Web and intranet environments.

Published by Springer as an authoritative reference for database professionals and researchers working with large-scale data systems.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
23 November 2010
Listed Since
14 June 2010

Barcode

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