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The Membership Problem for Probabilistic and Data Dependencies

  • S. K. M. Wong
  • C. J. Butz
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 90)

Abstract

It has been suggested that Bayesian networks and relational databases are different because the membership problems for probabilistic conditional independence and embedded multivalued dependency do not always coincide. The present study indicates that the membership problems coincide on solvable classes of dependencies and differ on unsolvable classes. We therefore maintain that Bayesian networks and relational databases are the same in a practical sense, since only solvable classes of dependencies are useful in the design and implementation of both knowledge systems.

Keywords

Bayesian Network Relational Database Database Model Practical Sense Probabilistic Dependency 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • S. K. M. Wong
    • 1
  • C. J. Butz
    • 2
  1. 1.Department of Computer ScienceUniversity of ReginaReginaCanada
  2. 2.School of Information Technology & EngineeringUniversity of OttawaOttawaCanada

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