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Answering Queries in Categorial Data Bases.

Francesco M. Malvestuto: Answering Queries in Categorial Data Bases. PODS 1987: 87-96
@inproceedings{DBLP:conf/pods/Malvestuto87,
  author    = {Francesco M. Malvestuto},
  title     = {Answering Queries in Categorial Data Bases},
  booktitle = {Proceedings of the Sixth ACM SIGACT-SIGMOD-SIGART Symposium on
               Principles of Database Systems, March 23-25, 1987, San Diego,
               California},
  publisher = {ACM},
  year      = {1987},
  isbn      = {0-89791-223-3},
  pages     = {87-96},
  ee        = {http://doi.acm.org/10.1145/28659.28668, db/conf/pods/Malvestuto87.html},
  crossref  = {DBLP:conf/pods/87},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

A compatible categorical data base can be viewed as a single (contingency) table by taking the maximum-entropy extension of the component tables. Such a view, here called universal table model, is needed to answer a user who wishes "cross-classified" categorical data, that is, categorical data resulting from the combination of the information contents of two or more base tables. In order to implement a universal table interface we make use of a query-optimization procedure, which is able to generate an appropriate answer both in the case that the asked data are present in the data base and in the case that they are not and, then, have to be estimated.

Copyright © 1987 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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Proceedings of the Sixth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, March 23-25, 1987, San Diego, California. ACM 1987, ISBN 0-89791-223-3
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References

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Francesco M. Malvestuto: Modelling Large Bases of Categorial Data With Acyclic Schemes. ICDT 1986: 323-340 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
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Arie Shoshani, Harry K. T. Wong: Statistical and Scientific Database Issues. IEEE Trans. Software Eng. 11(10): 1040-1047(1985) CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML

Referenced by

  1. Francesco M. Malvestuto: A Universal-Scheme Approach to Statistical Databases Containing Homogeneous Summary Tables. ACM Trans. Database Syst. 18(4): 678-708(1993)
  2. Maurizio Rafanelli, Fabrizio L. Ricci: Mefisto: A Functional Model for Statistical Entities. IEEE Trans. Knowl. Data Eng. 5(4): 670-681(1993)
  3. Soraya Abad-Mota: Approximate Query Processing with Summary Tables in Statistical Databases. EDBT 1992: 499-515
  4. Francesco M. Malvestuto, Marina Moscarini: Query Evaluability in Statistical Databases. IEEE Trans. Knowl. Data Eng. 2(4): 425-430(1990)
  5. Francesco M. Malvestuto, Marina Moscarini: Aggregate Evaluability in Statistical Databases. VLDB 1989: 279-286

Copyright © Mon Nov 2 21:03:57 2009 by Michael Ley (ley@uni-trier.de)