£106.31

Springer Similarity Search: The Metric Space Approach (Vol 32)

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Description

Explore the essential principles of similarity searching in this specialized volume from the Advances in Database Systems series. As data processing applications evolve, they increasingly handle data with less structure and less precise queries than traditional database systems. This book addresses these modern challenges by focusing on the metric space approach. Readers will find detailed insights into managing complex data types, including multimedia such as images and videos used for query by example searches. The text also covers product catalogs that enable preference-based searching, as well as scientific data records from biochemical and medical experimental analyses. Additionally, it examines XML documents originating from heterogeneous sources on the Web or within intranets. This resource is designed for those working with modern, unstructured data environments where traditional query methods are no longer sufficient.

Key Features

Covers similarity searching for multimedia data like images and videos used in query by example searches.

Provides technical insights into preference-based search methods used in modern product catalogs.

Addresses scientific data processing for biochemical and medical records from experimental analyses.

Explores XML document management from heterogeneous data sources on the Web and intranets.

Part of the Advances in Database Systems series (Volume 32) published by Springer.

Product Specifications

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

Barcode

No barcode data available

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