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Abstract: Contemporary database technology is severely limited at managing high-dimensional data of many advanced applications, such as multimedia systems and data mining. The main concern of this paper is the well-known performance degradation of multi-dimensional access methods in spaces with many dimensions. The paper proposes an elaborate storage organization, called the inverted space, which can support efficient processing of data in spaces with very high dimensionality. The organization allows... (Update)
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BibTeX entry: (Update)
@misc{ orlandic-invertedspace,
author = "Ratko Orlandic and Byunggu Yu",
title = "Inverted-Space Storage Organization for Persistent Data of Very High Dimensionality",
url = "citeseer.ist.psu.edu/orlandic01invertedspace.html" }
Citations (may not include all citations):262 Multidimensional Access Methods - Gaede, Gunther - 1998
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162 Similarity Indexing with the SStree (context) - White, Jain - 1996
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47 The K-D-B Tree: A Search Structure for Large Multidimensiona.. (context) - Robinson - 1981
43 Analysis and Performance of Inverted Database Structures (context) - Cardenas - 1975
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19 The R+- Tree: A Dynamic Index for Multi-Dimensional Objects (context) - Sellis, Roussopoulos et al. - 1987
17 Techniques for Design and Implementation of Efficient Spatia.. (context) - Seeger, Kriegel - 1988
11 The Transformation Technique for Spatial Objects Revisited (context) - Pagel, Six et al. - 1993
4 Simple QSF-trees: An Efficient and Scalable Spatial Access M.. (context) - Yu, Orlandic et al. - 1999
2 Optimizing Selections over Databases (context) - Ross, Zaman - 2000
1 Implementing KDB-trees to Support High-Dimensional Data (context) - Orlandic, Yu - 2001
1 A Study of MBR-Based Spatial Access Methods: How Well They P.. (context) - Orlandic, Yu - 2000
1 Efficient Indexing of High-Dimensional Data through Dimensio.. (context) - Goh, Lim et al. - 2000
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