Beyond Association Rules: Generalized Rule Discovery
Georey I. Webb · 2003
Abstract. Generalized rule discovery is a rule discovery framework that subsumes association rule discovery and the type of search employed to nd individual rules in classication rule discovery. This new rule discovery framework escapes the limitations of the support-condence framework inherent in association rule discovery. This empowers data miners to identify the types of rules that they wish to discover and develop ecient algorithms for discovering those rules. This paper presents a scalable algorithm applicable to a wide range of generalized rule discovery task and demonstrates its eciency.