Publication details
Efficient Processing of Narrow Range Queries in Multi
-dimensional Data
| Basic information | |
|---|---|
| Original title: | Efficient Processing of Narrow Range Queries in Multi-dimensional Data |
| Authors: | Michal Kratky, Vaclav Snasel, Jaroslav Pokorny, Pavel Zezula |
| Further information | |
|---|---|
| Citation: | KRATKY, Michal - SNASEL, Vaclav - POKORNY, Jaroslav - ZEZULA, Pavel. Efficient Processing of Narrow Range Queries in Multi-dimensional Data. In IDEAS06 Tenth International Database Engineering and Applications Symposium. USA : IEEE, 2006. ISBN 0-7695-2577-6, pp. 37-46. 11.12.2006, Delhi, India. |
| Original language: | English |
| Field: | Informatika |
| Type: | Article in Proceedings |
| Keywords: | range search narrow query index structure |
Multi-dimensional data structures are applied in many real index applications, i.e. data mining, indexing multimedia data, indexing of text documents and so on. Many index structures and algorithms have been proposed. There are two major approaches to multi-dimensional indexing: data structures to indexing metric and vector spaces. R-trees, R*-trees and (B)UB-trees are representatives of the vector data structures.
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