Publikation: The X-Tree : An Index Structure for High-Dimensional Data
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1996
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VIJAYARAMAN, T. M., ed. and others. Proceedings of the Twenty-second International Conference on Very Large Data-Bases ; Mumbai (Bombay), India 3 - 6 September, 1996. San Francisco: Morgan Kaufmann, 1996, pp. 28-39
Zusammenfassung
In this paper, we propose a new method for indexing large amounts of point and spatial data in highdimensional space. An analysis shows that index structures such as the R*-tree are not adequate for indexing high-dimensional data sets. The major problem of R-tree-based index structures is the overlap of the bounding boxes in the directory, which increases with growing dimension. To avoid this problem, we introduce a new organization of the directory which uses a split algorithm minimizing overlap and additionally utilizes the concept of supernodes. The basic idea of overlap-minimizing split and supernodes is to keep the directory as hierarchical as possible, and at the same time to avoid splits in the directory that would result in high overlap. Our experiments show that for high-dimensional data, the X-tree outperforms the well-known R*-tree and the TV-tree by up to two orders of magnitude.
Zusammenfassung in einer weiteren Sprache
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004 Informatik
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Very Large Data-Bases, 3. Sept. 1996 - 6. Sept. 1996, Mumbai (Bombay), India
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BERCHTOLD, Stefan, Daniel A. KEIM, Hans-Peter KRIEGEL, 1996. The X-Tree : An Index Structure for High-Dimensional Data. Very Large Data-Bases. Mumbai (Bombay), India, 3. Sept. 1996 - 6. Sept. 1996. In: VIJAYARAMAN, T. M., ed. and others. Proceedings of the Twenty-second International Conference on Very Large Data-Bases ; Mumbai (Bombay), India 3 - 6 September, 1996. San Francisco: Morgan Kaufmann, 1996, pp. 28-39BibTex
@inproceedings{Berchtold1996XTree-5734,
year={1996},
title={The X-Tree : An Index Structure for High-Dimensional Data},
publisher={Morgan Kaufmann},
address={San Francisco},
booktitle={Proceedings of the Twenty-second International Conference on Very Large Data-Bases ; Mumbai (Bombay), India 3 - 6 September, 1996},
pages={28--39},
editor={Vijayaraman, T. M.},
author={Berchtold, Stefan and Keim, Daniel A. and Kriegel, Hans-Peter}
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<dcterms:abstract xml:lang="eng">In this paper, we propose a new method for indexing large amounts of point and spatial data in highdimensional space. An analysis shows that index structures such as the R*-tree are not adequate for indexing high-dimensional data sets. The major problem of R-tree-based index structures is the overlap of the bounding boxes in the directory, which increases with growing dimension. To avoid this problem, we introduce a new organization of the directory which uses a split algorithm minimizing overlap and additionally utilizes the concept of supernodes. The basic idea of overlap-minimizing split and supernodes is to keep the directory as hierarchical as possible, and at the same time to avoid splits in the directory that would result in high overlap. Our experiments show that for high-dimensional data, the X-tree outperforms the well-known R*-tree and the TV-tree by up to two orders of magnitude.</dcterms:abstract>
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