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Piatetsky-Shapiro, (1989). Discovery of Strong Rules in Databases, Proceedings of IJCAI-89 Workshop on Knowledge Discovery in Databases, Detroit, Michigan, USA, 264-274.

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Classification and Approximation with Rule-Based Networks - Higgins, Jr.   (Correct)

....a more detailed history of rule based systems, see [Smy88] 8 More recently, interest in database analysis has generated methods for discovery of rules. Gaines and Shaw [GS86] use fuzzy logic to induce inference rules about a very specific type of database (a repertory grid) Piatetsky Shapiro [Pia89] presents a method for learning strong rules from a general database using an ad hoc rule interest measure. Schlimmer et al. SMM91] suggest a method for improving an expert rule set by using examples to suggest refinements to the rules. McMillan et al. MMS91] propose a neural network which ....

G. Piatetsky, "Discovery of strong rules in databases," Proceedings of the IJCAI Workshop on Knowledge Discovery in Databases, pages 264--74, 1989.


Knowledge Discovery In Databases: An Attribute-Oriented Rough Set.. - Hu (1995)   (8 citations)  (Correct)

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Piatetsky-Shapiro, (1989). Discovery of Strong Rules in Databases, Proceedings of IJCAI-89 Workshop on Knowledge Discovery in Databases, Detroit, Michigan, USA, 264-274.

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