PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Giannotti F., Manco G. Querying inductive databases via logic-based user-defined aggregates. In: European Conference on Principles and Practices of Knowledge Discovery in Databases (Praga (Czech Republic ), September 15-18 1999). Proceedings, pp. 125 - 135. (Lecture Notes in Computer Science, vol. 1704). Springer, 1999.
 
 
Abstract
(English)
We show how a logic-based database language can support the various steps of the KDD process by providing: a high degree of ex-pressiveness, the ability to formalize the overall KDD process and the capability of separating the concerns between the speci cation level and the mapping to the underlying databases and datamining tools. We gen- eralize the notion of Inductive Data Bases proposed in [4, 12] to the case of Deductive Databases. In our proposal, deductive databases resemble relational databases while user de ned aggregates provided by the de- ductive database language resemble the mining function and results. In the paper we concentrate on association rules and show how the mecha-nism of user de ned aggregates allows to specify the mining evaluation functions and the returned patterns.
Subject Knowledge discovery
H.2.8 Database Applications


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