Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach

Gediminas Adomavicius; Alexander Tuzhilin

Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach

Gediminas Adomavicius, Alexander Tuzhilin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Proceedings - 3rd International Conference on Knowledge Discovery and Data Mining, KDD 1997
Editors	David Heckerman, Heikki Mannila, Daryl Pregibon, Ramasamy Uthurusamy
Publisher	AAAI press
Pages	111-114
Number of pages	4
ISBN (Electronic)	1577350278, 9781577350279
State	Published - 1997
Externally published	Yes
Event	3rd International Conference on Knowledge Discovery and Data Mining, KDD 1997 - Newport Beach, United States Duration: Aug 14 1997 → Aug 17 1997

Publication series

Name	Proceedings - 3rd International Conference on Knowledge Discovery and Data Mining, KDD 1997

Conference

Conference	3rd International Conference on Knowledge Discovery and Data Mining, KDD 1997
Country/Territory	United States
City	Newport Beach
Period	8/14/97 → 8/17/97

Bibliographical note

Publisher Copyright:
Copyright © 1997, American Association for Artificial Intelligence (www.aaai.org). All rights reserved.

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Adomavicius, G., & Tuzhilin, A. (1997). Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach. In D. Heckerman, H. Mannila, D. Pregibon, & R. Uthurusamy (Eds.), Proceedings - 3rd International Conference on Knowledge Discovery and Data Mining, KDD 1997 (pp. 111-114). (Proceedings - 3rd International Conference on Knowledge Discovery and Data Mining, KDD 1997). AAAI press.

Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach. / Adomavicius, Gediminas; Tuzhilin, Alexander.
Proceedings - 3rd International Conference on Knowledge Discovery and Data Mining, KDD 1997. ed. / David Heckerman; Heikki Mannila; Daryl Pregibon; Ramasamy Uthurusamy. AAAI press, 1997. p. 111-114 (Proceedings - 3rd International Conference on Knowledge Discovery and Data Mining, KDD 1997).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Adomavicius, G & Tuzhilin, A 1997, Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach. in D Heckerman, H Mannila, D Pregibon & R Uthurusamy (eds), Proceedings - 3rd International Conference on Knowledge Discovery and Data Mining, KDD 1997. Proceedings - 3rd International Conference on Knowledge Discovery and Data Mining, KDD 1997, AAAI press, pp. 111-114, 3rd International Conference on Knowledge Discovery and Data Mining, KDD 1997, Newport Beach, United States, 8/14/97.

Adomavicius G, Tuzhilin A. Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach. In Heckerman D, Mannila H, Pregibon D, Uthurusamy R, editors, Proceedings - 3rd International Conference on Knowledge Discovery and Data Mining, KDD 1997. AAAI press. 1997. p. 111-114. (Proceedings - 3rd International Conference on Knowledge Discovery and Data Mining, KDD 1997).

Adomavicius, Gediminas ; Tuzhilin, Alexander. / Discovery of Actionable Patterns in Databases : The Action Hierarchy Approach. Proceedings - 3rd International Conference on Knowledge Discovery and Data Mining, KDD 1997. editor / David Heckerman ; Heikki Mannila ; Daryl Pregibon ; Ramasamy Uthurusamy. AAAI press, 1997. pp. 111-114 (Proceedings - 3rd International Conference on Knowledge Discovery and Data Mining, KDD 1997).

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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.",

author = "Gediminas Adomavicius and Alexander Tuzhilin",

note = "Publisher Copyright: Copyright {\textcopyright} 1997, American Association for Artificial Intelligence (www.aaai.org). All rights reserved.; 3rd International Conference on Knowledge Discovery and Data Mining, KDD 1997 ; Conference date: 14-08-1997 Through 17-08-1997",

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Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach

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