(Enter summary)
Abstract: The data structures suitable for indexing of large spatial
objects in databases are considered. Some generalizations
of existing tree methods concerned approximation of spatial
objects and composite optimization criteria are proposed.
The efficient algorithms, including one for spatial
join operation, providing for optimize considered methods
are described. The results of experimental measurements
of different variations of R-trees and proposed methods
are presented and compared. (Update)
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BibTeX entry: (Update)
M.G. Martynov: "Variations of R-tree Structure for Indexing of Spatial Objects", Proceedings 2nd ADBIS Conference, pp.217-221, Moscow, Russia, 1994. http://citeseer.ist.psu.edu/martynov94variations.html More
@inproceedings{ martynov94variations,
author = "M. G. Martynov",
title = "Variations of {R}-tree structure for indexing of spatial objects.",
booktitle = "Proceedings of the International Workshop on Advances in Databases and Information Systems - {ADBIS'94}",
month = "23--26",
address = "Moscow",
pages = "217--221",
year = "1994",
url = "citeseer.ist.psu.edu/martynov94variations.html" }
Citations (may not include all citations):
765
trees: a dynamic index structure for spatial searching (context) - Guttman - 1984
516
tree: an efficient and robust access method for points and r.. (context) - Beekmann, Kriegel et al. - 1990
19
The Rtree: a dynamic index for multi-dimensional objects (context) - Sellis, Roussopoulos et al. - 1987
13
A review of recent work on multi-attribute access methods (context) - Lomet - 1992
8
Spatial database indices for large extended objects (context) - Gunter, Noltemeier - 1991
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