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The management of probabilistic data

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3 Author(s)
Barbara, D. ; Matsushita Inf. Technol. Lab., Princeton, NJ, USA ; Garcia-Molina, H. ; Porter, D.

It is often desirable to represent in a database, entities whose properties cannot be deterministically classified. The authors develop a 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 model offers a richer descriptive language allowing the database to more accurately reflect the uncertain real world. Probabilistic analogs to the basic relational operators are defined and their correctness is studied. A set of operators that have no counterpart in conventional relational systems is presented

Published in:

Knowledge and Data Engineering, IEEE Transactions on  (Volume:4 ,  Issue: 5 )

Date of Publication:

Oct 1992

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