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dc.contributor.authorAdomavicius, Gediminas-
dc.contributor.authorTuzhilin, Alexander-
dc.date.accessioned2005-11-29T20:56:55Z-
dc.date.available2005-11-29T20:56:55Z-
dc.date.issued1997-
dc.identifier.urihttp://hdl.handle.net/2451/14174-
dc.description.abstractAn 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.en
dc.format.extent1366691 bytes-
dc.format.mimetypeapplication/pdf-
dc.languageEnglishEN
dc.language.isoen_US-
dc.publisherStern School of Business, New York Universityen
dc.relation.ispartofseriesIS-97-08-
dc.titleDiscovery of Actionable Patterns in Databases: The Action Hierarchy Approachen
dc.typeWorking Paperen
dc.description.seriesInformation Systems Working Papers SeriesEN
Appears in Collections:IOMS: Information Systems Working Papers

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