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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
