Multidimensional Access Methods.
Volker Gaede, Oliver Günther:
Multidimensional Access Methods.
ACM Comput. Surv. 30(2): 170-231(1998)@article{DBLP:journals/csur/GaedeG98,
author = {Volker Gaede and
Oliver G{\"u}nther},
title = {Multidimensional Access Methods},
journal = {ACM Comput. Surv.},
volume = {30},
number = {2},
year = {1998},
pages = {170-231},
ee = {db/journals/csur/GaedeG98.html},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Abstract
Search operations in databases require special support at the physical level.
This is true for conventional databases as well as spatial databases, where typical search operations include the point query (find all objects that contain a given search point) and the region query (find all objects that overlap a given search region).
More than ten years of spatial database research have resulted in a great variety of multidimensional access methods to support such operations.
We give an overview of that work.
After a brief survey of spatial data management in general, we first present the class of point access methods, which are used to search sets of points in two or more dimensions.
The second part of the paper is devoted to spatial access methods to handle extended objects, such as rectangles or polyhedra.
We conclude with a discussion of theoretical and experimental results concerning the relative performance of various approaches.
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SSD 1989: 167-190

- [Seeger 1991]
- Bernhard Seeger:
Performance Comparison of Segment Access Methods Implemented on Top of the Buddy-Tree.
SSD 1991: 277-296

- [Seeger and Kriegel 1988]
- Bernhard Seeger, Hans-Peter Kriegel:
Techniques for Design and Implementation of Efficient Spatial Access Methods.
VLDB 1988: 360-371

- [Seeger and Kriegel 1990]
- Bernhard Seeger, Hans-Peter Kriegel:
The Buddy-Tree: An Efficient and Robust Access Method for Spatial Data Base Systems.
VLDB 1990: 590-601

- [Sellis et al. 1987]
- Timos K. Sellis, Nick Roussopoulos, Christos Faloutsos:
The R+-Tree: A Dynamic Index for Multi-Dimensional Objects.
VLDB 1987: 507-518

- [Sevcik and Koudas 1996]
- Kenneth C. Sevcik, Nick Koudas:
Filter Trees for Managing Spatial Data over a Range of Size Granularities.
VLDB 1996: 16-27

- [Sexton 1997]
- Alan P. Sexton:
Querying Indexed Files.
CDB 1997: 263-281

- [Shekhar and Liu 1995]
- Shashi Shekhar, Duen-Ren Liu:
CCAM: A Connectivity-Clustered Access Method for Aggregate Queries on Transportation Networks: A Summary of Results.
ICDE 1995: 410-419

- [Siemens Nixdorf Informationssysteme AG 1997]
- ...
- [Six and Widmayer 1988]
- Hans-Werner Six, Peter Widmayer:
Spatial Searching in Geometric Databases.
ICDE 1988: 496-503

- [Smid and Overmars 1990]
- Michiel H. M. Smid, Mark H. Overmars:
Maintaining Range Trees in Secondary Memory. Part II: Lower Bounds.
Acta Inf. 27(5): 453-480(1989)

- [Smith and Gao 1990]
- ...
- [Stonebraker 1994]
- Michael Stonebraker (Ed.):
Readings in Database Systems, Second Edition.
Morgan Kaufmann 1994, ISBN 1-55860-252-6

- [Stonebraker et al. 1986]
- Michael Stonebraker, Timos K. Sellis, Eric N. Hanson:
An Analysis of Rule Indexing Implementations in Data Base Systems.
Expert Database Conf. 1986: 465-476

- [Stuckey 1997]
- Peter J. Stuckey:
Constraint Search Tree.
ICLP 1997: 301-315

- [Subramanian and Ramaswamy 1995]
- Sairam Subramanian, Sridhar Ramaswamy:
The P-range Tree: A New Data Structure for Range Searching in Secondary Memory.
SODA 1995: 378-387

- [Tamminen 1982]
- Markku Tamminen:
The Extendible Cell Method for Closest Point Problems.
BIT 22(1): 27-41(1982)

- [Tamminen 1983]
- ...
- [Tamminen 1984]
- Markku Tamminen:
Comment on Quad- and Octtrees.
Commun. ACM 27(3): 248-249(1984)

- [Theodoridis and Sellis 1996]
- Yannis Theodoridis, Timos K. Sellis:
A Model for the Prediction of R-tree Performance.
PODS 1996: 161-171

- [Tropf and Herzog 1981]
- ...
- [Whang and Krishnamurthy 1985]
- ...
- [White 1981]
- ...
- [Widmayer 1991]
- ...
Copyright © Fri Dec 4 20:29:12 2009
by Michael Ley (ley@uni-trier.de)