Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Adomavicius, Gediminas | - |
| dc.contributor.author | Tuzhilin, Alexander | - |
| dc.date.accessioned | 2005-11-29T20:56:55Z | - |
| dc.date.available | 2005-11-29T20:56:55Z | - |
| dc.date.issued | 1997 | - |
| dc.identifier.uri | http://hdl.handle.net/2451/14174 | - |
| dc.description.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. | en |
| dc.format.extent | 1366691 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language | English | EN |
| dc.language.iso | en_US | - |
| dc.publisher | Stern School of Business, New York University | en |
| dc.relation.ispartofseries | IS-97-08 | - |
| dc.title | Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach | en |
| dc.type | Working Paper | en |
| dc.description.series | Information Systems Working Papers Series | EN |
| Appears in Collections: | IOMS: Information Systems Working Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| IS-97-08.pdf | 1.33 MB | Adobe PDF | View/Open |
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