A probabilistic relational data model

It is often desirable to represent in a database entities whose properties cannot be deterministically classified. We develop a new data model that includes probabilities associated with the values of the attributes. The notion of missing probabilities is introduced for partially specified probabili...

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Hauptverfasser: Barbara, Daniel, Garcia-Molina, Hector, Porter, Daryl
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creator Barbara, Daniel
Garcia-Molina, Hector
Porter, Daryl
description It is often desirable to represent in a database entities whose properties cannot be deterministically classified. We develop a new data model that includes probabilities associated with the values of the attributes. The notion of missing probabilities is introduced for partially specified probability distributions. This new model offers a richer descriptive language allowing the database to reflect more accurately the uncertain real world. Probabilistic analogs to the basic relational operators are defined and their correctness is studied.
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identifier ISSN: 0302-9743
ispartof Advances in Database Technology — EDBT '90, 2005, Vol.416, p.60-74
issn 0302-9743
1611-3349
language eng
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source Springer Books
subjects Applied sciences
Computer science
control theory
systems
Deterministic Attribute
Deterministic Relation
Exact sciences and technology
Incomplete Information
Information systems. Data bases
Memory organisation. Data processing
Probability Distribution Function
Relational Database
Software
title A probabilistic relational data model
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