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...
Gespeichert in:
Hauptverfasser: | , , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | 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. |
---|---|
ISSN: | 0302-9743 1611-3349 |
DOI: | 10.1007/BFb0022164 |