High-Dimensional Indexing: Transformational Approaches to High-Dimensional Range and Similarity Searches - Lecture Notes in Computer Science 2341 (Paperback)Cui Yu (author)
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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.
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Number of pages: 156
Weight: 288 g
Dimensions: 233 x 155 x 9 mm
Edition: 2002 ed.
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