A Statistical Approach to Incomplete Information in Database Systems.

Eugene Wong: A Statistical Approach to Incomplete Information in Database Systems. ACM Trans. Database Syst. 7(3): 470-488(1982)

@article{DBLP:journals/tods/Wong82,
  author    = {Eugene Wong},
  title     = {A Statistical Approach to Incomplete Information in Database
               Systems},
  journal   = {ACM Trans. Database Syst.},
  volume    = {7},
  number    = {3},
  year      = {1982},
  pages     = {470-488},
  ee        = {http://doi.acm.org/10.1145/319732.319747, db/journals/tods/Wong82.html},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

There are numerous situations in which a database cannot provide a precise answer to some of the questions that are posed. Sources of imprecision vary and include examples such as recording errors, incompatible scaling, and obsolete data. In many such situations, considerable prior information concerning the imprecision exists and can be exploited to provide valuable information for queries to which no exact answer can be given. The objective of this paper is to provide a framework for doing so.

Copyright © 1982 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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References

[1]: ...
[2]: ...
[3]: Witold Lipski Jr.: On Semantic Issues Connected with Incomplete Information Databases. ACM Trans. Database Syst. 4(3): 262-296(1979) BibTeX
[4]: Michael Stonebraker, Eugene Wong, Peter Kreps, Gerald Held: The Design and Implementation of INGRES. ACM Trans. Database Syst. 1(3): 189-222(1976) BibTeX
[5]: Eugene Wong: Retrieving Dispersed Data from SDD-1: A System for Distributed Databases. Berkeley Workshop 1977: 217-235 BibTeX

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