Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2341)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Many new database applications, such as multimedia databases or stock price information systems, transform important features or properties of data objects into high-dimensional points. Searching for objects based on these features is thus a search of points in this feature space. To support efficient retrieval in such high-dimensional databases, indexes are required to prune the search space. Indexes for low-dimensional databases are well studied, whereas most of these application specific indexes are not scaleable with the number of dimensions, and they are not designed to support similarity searches and high-dimensional joins.
Editors and Affiliations
Bibliographic Information
Book Title: High-Dimensional Indexing
Book Subtitle: Transformational Approaches to High-Dimensional Range and Similarity Searches
Editors: Cui Yu
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-45770-4
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2002
Softcover ISBN: 978-3-540-44199-1Published: 13 November 2002
eBook ISBN: 978-3-540-45770-1Published: 01 August 2003
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 156
Topics: Database Management, Information Storage and Retrieval, Multimedia Information Systems, Information Systems Applications (incl. Internet), Data Storage Representation, Data Structures