High-Dimensional Indexing [electronic resource] : Transformational Approaches to High-Dimensional Range and Similarity Searches /

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.

Bibliographic Details

Main Authors:	Yu, Cui. editor., SpringerLink (Online service)
Format:	Texto biblioteca
Language:	eng
Published:	Berlin, Heidelberg : Springer Berlin Heidelberg, 2002
Subjects:	Computer science., Data structures (Computer science)., Database management., Information storage and retrieval., Multimedia information systems., Computer Science., Database Management., Information Storage and Retrieval., Multimedia Information Systems., Information Systems Applications (incl. Internet)., Data Storage Representation., Data Structures.,
Online Access:	http://dx.doi.org/10.1007/3-540-45770-4
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