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An Analytic Approach to Statistical Databases.

Ezio Lefons, Alberto Silvestri, Filippo Tangorra: An Analytic Approach to Statistical Databases. VLDB 1983: 260-274
@inproceedings{DBLP:conf/vldb/LefonsST83,
  author    = {Ezio Lefons and
               Alberto Silvestri and
               Filippo Tangorra},
  editor    = {Mario Schkolnick and
               Costantino Thanos},
  title     = {An Analytic Approach to Statistical Databases},
  booktitle = {9th International Conference on Very Large Data Bases, October
               31 - November 2, 1983, Florence, Italy, Proceedings},
  publisher = {Morgan Kaufmann},
  year      = {1983},
  isbn      = {0-934613-15-X},
  pages     = {260-274},
  ee        = {db/conf/vldb/LefonsST83.html},
  crossref  = {DBLP:conf/vldb/83},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

In the commonly adopted data models (as in Chen's entity-relationship data model [1], for example) an attribute is a mapping between an entity set or a relationship set and a value set. The intension of a mapping property is given implicitly or explicitly in the data models, but the extension can be generally represented by the set {<entity,value>}, as in the relational model. We propose an alternative data model for statistical databases, in which an attribute is represented by its analytic properties (the distribution function of the values of the attribute). These analytic properties are described by a set of parameters, which we call the canonical coefficients of the attribute. The canonical coefficients can be used to solve the usual statistical queries with no access to the data. In particular, we present: 1) the methods for computing and updating the canonical coefficients, 2) the use of the canonical coefficients for solving the main statistical queries, also in distributed statistical database environments. Besides, an application of such parameters to the query decomposition in distributed database environments is discussed.

Copyright © 1983 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.

Online Paper

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Printed Edition

Mario Schkolnick, Costantino Thanos (Eds.): 9th International Conference on Very Large Data Bases, October 31 - November 2, 1983, Florence, Italy, Proceedings. Morgan Kaufmann 1983, ISBN 0-934613-15-X
Contents BibTeX

References

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Dorothy E. Denning, Peter J. Denning, Mayer D. Schwartz: The Tracker: A Threat to Statistical Database Security. ACM Trans. Database Syst. 4(1): 76-96(1979) BibTeX
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Dorothy E. Denning: Secure Statistical Databases with Random Sample Queries. ACM Trans. Database Syst. 5(3): 291-315(1980) BibTeX
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Dorothy E. Denning, Jan Schlörer: A Fast Procedure for Finding a Tracker in a Statistical Database. ACM Trans. Database Syst. 5(1): 88-102(1980) BibTeX
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Alan R. Hevner, S. Bing Yao: Query Processing in Distributed Database Systems. IEEE Trans. Software Eng. 5(3): 177-187(1979) BibTeX
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Peter M. G. Apers, Alan R. Hevner, S. Bing Yao: Optimization Algorithms for Distributed Queries. IEEE Trans. Software Eng. 9(1): 57-68(1983) BibTeX
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Referenced by

  1. Rakesh Agrawal, Ramakrishnan Srikant: Privacy-Preserving Data Mining. SIGMOD Conference 2000: 439-450
  2. Chung-Min Chen, Nick Roussopoulos: Adaptive Selectivity Estimation Using Query Feedback. SIGMOD Conference 1994: 161-172
  3. Wei Sun, Yibei Ling, Naphtali Rishe, Yi Deng: An Instant and Accurate Estimation Method for Joins and Selection in a Retrieval-Intensive Environment. SIGMOD Conference 1993: 79-88
  4. Nabil R. Adam, John C. Wortmann: Security-Control Methods for Statistical Databases: A Comparative Study. ACM Comput. Surv. 21(4): 515-556(1989)
  5. Erol Gelenbe, Georges Hébrail: A Probability Model of Uncertainty in Data Bases. ICDE 1986: 328-333
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