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Towards an analysis of range query performance in spatial data structures

Published:01 August 1993Publication History

ABSTRACT

In this paper, we motivate four different user defined window query classes and derive a probabilistic model for each of them. For each model, we characterize the efficiency of spatial data structures in terms of the expected number of data bucket accesses needed to perform a window query. Our analytical approach exhibits the performance phenomena independent of data structure and implementation details and whether the objects are points or non-point objects.

References

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            • Published in

              cover image ACM Conferences
              PODS '93: Proceedings of the twelfth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
              August 1993
              312 pages
              ISBN:0897915933
              DOI:10.1145/153850

              Copyright © 1993 ACM

              Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 1 August 1993

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              Acceptance Rates

              PODS '93 Paper Acceptance Rate26of115submissions,23%Overall Acceptance Rate642of2,707submissions,24%

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