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FLAIRS
2010
13 years 8 months ago
Mining Actionable Patterns
We propose a generic framework that uses utility in decision making to drive the data mining process. We use concepts from meta-learning and build on earlier work by Elovici and B...
Prabakararaj Swapna Raj, Ravindran Balaraman
ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
14 years 1 days ago
Parameter Tuning for Differential Mining of String Patterns
Constraint-based mining has been proven to be extremely useful for supporting actionable pattern discovery. However, useful conjunctions of constraints that support domain driven ...
Jérémy Besson, Christophe Rigotti, I...
CVPR
2011
IEEE
13 years 1 months ago
Mining Discriminative Co-occurrence Patterns for Visual Recognition
The co-occurrence pattern, a combination of binary or local features, is more discriminative than individual features and has shown its advantages in object, scene, and action rec...
Junsong Yuan, Ming Yang, Ying Wu
ICCV
2007
IEEE
14 years 7 months ago
Discriminative Subsequence Mining for Action Classification
Recent approaches to action classification in videos have used sparse spatio-temporal words encoding local appearance around interesting movements. Most of these approaches use a ...
Sebastian Nowozin, Gökhan H. Bakir, Koji Tsud...
FLAIRS
2004
13 years 7 months ago
Discovering Causal Chains by Integrating Plan Recognition and Sequential Pattern Mining
In this paper we define the notion of causal chains. Causal chains are a particular kind of sequential patterns that reflect causality relations according to background knowledge....
Shreeram Sahasrabudhe, Héctor Muñoz-...