High-Dimensional Indexing
Subtitle: Transformational Approaches to High-Dimensional Range and Similarity Searches (Lecture Notes in Computer Science)
Edition: 1 edition
Publisher: Springer
Published: December 16, 2002
Language: eng
Format: Paperback
Number of pages: 161
ISBN-13: 9783540441991
Subjects: Data capture & analysis; Databases & data structures; Multimedia; General; Database Engineering; Indexing And Abstracting; Computers; Computers - General Information; Information Technology; Computer Books: General; Information Storage & Retrieval; Indexing; Computers / Information Storage & Retrieval; Multimedia systems; Database Management - General; Database management
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.