ENGLISH

High-Dimensional Indexing: Transformational Approaches to High-Dimensional Range and Similarity Searches

By Cui Yu (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2003
ISBN
978-3-540-44199-1, 978-3-540-45770-1
DOI
10.1007/3-540-45770-4
Language
english
Format
PDF
Filesize
2 MB (1890392 bytes)
Series
Lecture Notes in Computer Science 2341
Edition
1
Pages
156\158
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Information Storage and Retrieval; Database Manage

Description

In this monograph, we study the problem of high-dimensional indexing and systematically introduce two efficient index structures: one for range queries and the other for similarity queries. Extensive experiments and comparison studies are conducted to demonstrate the superiority of the proposed indexing methods. 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.

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