Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach

Gediminas Adomavicius, New York University and Alexander Tuzhilin, Stern School of Business, New York City University

An approach to defining actionability as a measure of interestingness of patterns is proposed. This approach is based on the concept of an action hierarchy which is defined as a tree of actions with patterns and pattern templates (data mining queries) assigned to its nodes. A method for discovering actionable patterns is presented and various techniques for optimizing the discovery process are proposed.

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