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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2451/14174
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| Title: | 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. |
| URI: | http://hdl.handle.net/2451/14174 |
| Appears in Collections: | IOMS: Information Systems Working Papers
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