ACM SIGMOD Anthology ACM SIGMOD dblp.uni-trier.de

Segment Indexes: Dynamic Indexing Techniques for Multi-Dimensional Interval Data.

Curtis P. Kolovson, Michael Stonebraker: Segment Indexes: Dynamic Indexing Techniques for Multi-Dimensional Interval Data. SIGMOD Conference 1991: 138-147
@inproceedings{DBLP:conf/sigmod/KolovsonS91,
  author    = {Curtis P. Kolovson and
               Michael Stonebraker},
  editor    = {James Clifford and
               Roger King},
  title     = {Segment Indexes: Dynamic Indexing Techniques for Multi-Dimensional
               Interval Data},
  booktitle = {Proceedings of the 1991 ACM SIGMOD International Conference on
               Management of Data, Denver, Colorado, May 29-31, 1991},
  publisher = {ACM Press},
  year      = {1991},
  pages     = {138-147},
  ee        = {http://doi.acm.org/10.1145/115790.115807, db/conf/sigmod/KolovsonS91.html},
  crossref  = {DBLP:conf/sigmod/91},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

We propose new indexing techniques for interval data in K>=1 dimensions consisting of a set of extensions to a class of database indexing structures. These techniques are useful for improving index search performance for spatial data composed of multi-dimensional intervals that have nonuniform length distributions. Interval data collections having non-uniform length distributions are likely to occur in practice, and may be typical of historical data collections in which tuples represent intervals in the time dimension. We present these indexing techniques, illustrate how they may be applied to the R-Tree index, and provide the results of performance experiments.

Copyright © 1991 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.


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James Clifford, Roger King (Eds.): Proceedings of the 1991 ACM SIGMOD International Conference on Management of Data, Denver, Colorado, May 29-31, 1991. ACM Press 1991 BibTeX , SIGMOD Record 20(2), June 1991
Contents

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[Index Terms]
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References

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Referenced by

  1. Joseph M. Hellerstein, Lisa Hellerstein, George Kollios: On the Generation of 2-Dimensional Index Workloads. ICDT 1999: 113-130
  2. Anil Kumar, Vassilis J. Tsotras, Christos Faloutsos: Designing Access Methods for Bitemporal Databases. IEEE Trans. Knowl. Data Eng. 10(1): 1-20(1998)
  3. Vassilis J. Tsotras, Christian S. Jensen, Richard T. Snodgrass: An Extensible Notation for Spatiotemporal Index Queries. SIGMOD Record 27(1): 47-53(1998)
  4. Peter J. Varman, Rakesh M. Verma: An Efficient Multiversion Access STructure. IEEE Trans. Knowl. Data Eng. 9(3): 391-409(1997)
  5. Christos Faloutsos, H. V. Jagadish, Yannis Manolopoulos: Analysis of the n-Dimensional Quadtree Decomposition for Arbitrary Hyperectangles. IEEE Trans. Knowl. Data Eng. 9(3): 373-383(1997)
  6. Narayanan Shivakumar, Hector Garcia-Molina: Wave-Indices: Indexing Evolving Databases. SIGMOD Conference 1997: 381-392
  7. Bruno Becker, Stephan Gschwind, Thomas Ohler, Bernhard Seeger, Peter Widmayer: An Asymptotically Optimal Multiversion B-Tree. VLDB J. 5(4): 264-275(1996)
  8. Jochen Van den Bercken, Bernhard Seeger: Query Processing Techniques for Multiversion Access Methods. VLDB 1996: 168-179
  9. Taekyong Lee, Tolga Bozkaya, Huang-Cheng Kuo, Gultekin Özsoyoglu, Z. Meral Özsoyoglu: A Scientific Multimedia Database System for Polymer Science Experiments. SSDBM 1996: 86-95
  10. Nick Koudas, Christos Faloutsos, Ibrahim Kamel: Declustering Spatial Databases on a Multi-Computer Architecture. EDBT 1996: 592-614
  11. Gad M. Landau, Jeanette P. Schmidt, Vassilis J. Tsotras: Historical Queries Along Multiple Lines of Time Evolution. VLDB J. 4(4): 703-726(1995)
  12. Christian S. Jensen, Richard T. Snodgrass: Temporal Specialization and Generalization. IEEE Trans. Knowl. Data Eng. 6(6): 954-974(1994)
  13. Ibrahim Kamel, Christos Faloutsos: Hilbert R-tree: An Improved R-tree using Fractals. VLDB 1994: 500-509
  14. Goetz Graefe: Query Evaluation Techniques for Large Databases. ACM Comput. Surv. 25(2): 73-170(1993)
  15. Michael Stonebraker, Jolly Chen, Nobuko Nathan, Caroline Paxson, Jiang Wu: Tioga: Providing Data Management Support for Scientific Visualization Applications. VLDB 1993: 25-38
  16. Ibrahim Kamel, Christos Faloutsos: Parallel R-trees. SIGMOD Conference 1992: 195-204
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