Knowledge Discovery in Real Databases: A Report on the IJCAI-89 Workshop

Gregory Piatetsky-Shapiro

Abstract


The growth in the amount of available databases far outstrips the growth of corresponding knowledge. This creates both a need and an opportunity for extracting knowledge from databases. Many recent results have been reported on extracting different kinds of knowledge from databases, including diagnostic rules, drug side effects, classes of stars, rules for expert systems, and rules for semantic query optimization.

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DOI: http://dx.doi.org/10.1609/aimag.v11i4.873

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