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KDD
1997
ACM
131views Data Mining» more  KDD 1997»
13 years 9 months ago
Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach
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 t...
Gediminas Adomavicius, Alexander Tuzhilin
ICDM
2005
IEEE
162views Data Mining» more  ICDM 2005»
13 years 10 months ago
Mining Patterns That Respond to Actions
Data mining focuses on patterns that summarize the data. In this paper, we focus on mining patterns that could change the state by responding to opportunities of actions.
Yuelong Jiang, Ke Wang, Alexander Tuzhilin, Ada Wa...
ICDE
2006
IEEE
152views Database» more  ICDE 2006»
14 years 6 months ago
Mining Actionable Patterns by Role Models
Data mining promises to discover valid and potentially useful patterns in data. Often, discovered patterns are not useful to the user. "Actionability" addresses this pro...
Ke Wang, Yuelong Jiang, Alexander Tuzhilin
ICDE
2009
IEEE
188views Database» more  ICDE 2009»
14 years 6 months ago
GuruMine: A Pattern Mining System for Discovering Leaders and Tribes
In this demo we introduce GuruMine, a pattern mining system for the discovery of leaders, i.e., influential users in social networks, and their tribes, i.e., a set of users usually...
Amit Goyal 0002, Byung-Won On, Francesco Bonchi, L...
EDBT
2002
ACM
157views Database» more  EDBT 2002»
14 years 5 months ago
Profit Mining: From Patterns to Actions
Abstract. A major obstacle in data mining applications is the gap between the statistic-based pattern extraction and the value-based decision making. We present a profit mining app...
Ke Wang, Senqiang Zhou, Jiawei Han