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 oper- ators are defined. Finally, some simple examples are given.
Titolo: | A General Probabilistic Database Model |
Autori: | |
Data di pubblicazione: | 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 oper- ators are defined. Finally, some simple examples are given. |
Handle: | http://hdl.handle.net/11562/940484 |
Appare nelle tipologie: | 04.01 Contributo in atti di convegno |
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