Databases for interval probabilities

Wenzhong Zhao, Alex Dekhtyar, Judy Goldsmith

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

We present a database framework for the efficient storage and manipulation of interval probability distributions and their associated information. Although work on interval probabilities and on probabilistic databases has appeared before, ours is the first to combine these into a coherent and mathematically sound framework including both standard relational queries and queries based on probability theory. In particular, our query algebra allows users not only to query existing interval probability distributions, but also to construct new ones by means of conditionalization and marginalization, as well as other more common database operations.

Original languageEnglish
Pages (from-to)789-815
Number of pages27
JournalInternational Journal of Intelligent Systems
Volume19
Issue number9
DOIs
StatePublished - Sep 2004

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Human-Computer Interaction
  • Artificial Intelligence

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