Indexing OODB Instances based on Access Proximity.

@inproceedings{DBLP:conf/icde/ChanO97,
  author    = {Chee Yong Chan and
               Cheng Hian Goh and
               Beng Chin Ooi},
  editor    = {W. A. Gray and
               Per-{\AA}ke Larson},
  title     = {Indexing OODB Instances based on Access Proximity},
  booktitle = {Proceedings of the Thirteenth International Conference on Data
               Engineering, April 7-11, 1997 Birmingham U.K},
  publisher = {IEEE Computer Society},
  year      = {1997},
  isbn      = {0-8186-7807-0},
  pages     = {14-21},
  ee        = {db/conf/icde/ChanO97.html},
  crossref  = {DBLP:conf/icde/97},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Copyright © 1997 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.

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References

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Antonin Guttman: R-Trees: A Dynamic Index Structure for Spatial Searching. SIGMOD Conference 1984: 47-57

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Won Kim, Kyung-Chang Kim, Alfred G. Dale: Indexing Techniques for Object-Oriented Databases. Object-Oriented Concepts, Databases, and Applications 1989: 371-394

[6]

Donald E. Knuth: The Art of Computer Programming, Volume I: Fundamental Algorithms, 2nd Edition. Addison-Wesley 1973

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Chee Chin Low, Beng Chin Ooi, Hongjun Lu: H-trees: A Dynamic Associative Search Index for OODB. SIGMOD Conference 1992: 134-143

[8]

Sridhar Ramaswamy, Paris C. Kanellakis: OODB Indexing by Class-Division. SIGMOD Conference 1995: 139-150

[9]

B. Sreenath, S. Seshadri: The hcC-tree: An Efficient Index Structure for Object Oriented Databases. VLDB 1994: 203-213