Skip navigation

Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach

Authors: Adomavicius, Gediminas
Tuzhilin, Alexander
Issue Date: 1997
Publisher: Stern School of Business, New York University
Series/Report no.: IS-97-08
Abstract: 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.
Appears in Collections:IOMS: Information Systems Working Papers

Files in This Item:
File Description SizeFormat 
IS-97-08.pdf1.33 MBAdobe PDFView/Open

Items in FDA are protected by copyright, with all rights reserved, unless otherwise indicated.