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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        = {http://www.vldb.org/conf/1983/P260.PDF},
  crossref  = {DBLP:conf/vldb/83},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

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.


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
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