A new model for probabilistic databases, using interval-valued conditional probability assessments, is proposed. The concept of coherence adopted in our approach is based on a suitable generalization of the coherence principle of de Finetti and can be related to similar definitions given for lower and upper probabilities by other authors. A corresponding probabilistic relational algebra is introduced and some new operators are defined. Finally, some simple examples are given.

A general probabilistic database model / Biazzo, V; Ferro, A; Gilio, Angelo; Giugno, R.. - STAMPA. - II:(2000), pp. 1107-1114. ((Intervento presentato al convegno Information Processing and Management of Uncertainty in Knowledge-Based Systems tenutosi a Madrid nel July 3-7, 2000.

A general probabilistic database model

GILIO, ANGELO;
2000

Abstract

A new model for probabilistic databases, using interval-valued conditional probability assessments, is proposed. The concept of coherence adopted in our approach is based on a suitable generalization of the coherence principle of de Finetti and can be related to similar definitions given for lower and upper probabilities by other authors. A corresponding probabilistic relational algebra is introduced and some new operators are defined. Finally, some simple examples are given.
Information Processing and Management of Uncertainty in Knowledge-Based Systems
Conditional events; interval-valued probability assessments; generalized coherence; probabilistic relational database; probabilistic relational algebra operations.
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
A general probabilistic database model / Biazzo, V; Ferro, A; Gilio, Angelo; Giugno, R.. - STAMPA. - II:(2000), pp. 1107-1114. ((Intervento presentato al convegno Information Processing and Management of Uncertainty in Knowledge-Based Systems tenutosi a Madrid nel July 3-7, 2000.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/215829
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