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On the Learning of Functional Dependencies in Deductive Databases
Number of Authors: 1
1986 (English)Report (Refereed)
Abstract [en]

The contribution of deduction mechanisms to (relational) databases is today well-studied. These methods open the way to an enrichment of databases by rules that govern these very data: these rules formalize some laws of the application under modelling. To express such rules we often need probabilistic (or modal) logics. We give hereafter a short abstract of some ideas concerning data analysis techniques used to obtain rules describing functional dependencies. For this we use a probabilistic logic and an elaborate framework for a database theory. All these topics will be treated at greater length in a forthcoming article.

Place, publisher, year, edition, pages
Kista, Sweden: Swedish Institute of Computer Science , 1986, 1. , 13 p.
SICS Research Report, ISSN 0283-3638 ; R86:08
National Category
Computer and Information Science
URN: urn:nbn:se:ri:diva-14018OAI: diva2:1035301
Original report number R86008. (A more comprehensive version, in French, appears in the Proceedings of the 1st Spanish Congress on Artificial Intelligence and Databases, Blanes, 1985.)Available from: 2016-10-13 Created: 2016-10-13

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