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SGAI
2010
Springer
14 years 9 months ago
Evolving Temporal Association Rules with Genetic Algorithms
A novel framework for mining temporal association rules by discovering itemsets with a genetic algorithm is introduced. Metaheuristics have been applied to association rule mining,...
Stephen G. Matthews, Mario A. Góngora, Adri...
ICDM
2010
IEEE
217views Data Mining» more  ICDM 2010»
14 years 9 months ago
Discovering Temporal Features and Relations of Activity Patterns
An important problem that arises during the data mining process in many new emerging application domains is mining data with temporal dependencies. One such application domain is a...
Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook
ICSE
2009
IEEE-ACM
16 years 17 days ago
Discovering and representing systematic code changes
Software engineers often inspect program differences when reviewing others' code changes, when writing check-in comments, or when determining why a program behaves differentl...
Miryung Kim, David Notkin
CVPR
2010
IEEE
15 years 8 months ago
What's going on? Discovering Spatio-Temporal Dependencies in Dynamic Scenes
We present two novel methods to automatically learn spatio-temporal dependencies of moving agents in complex dynamic scenes. They allow to discover temporal rules, such as the rig...
Daniel Kuettel, Michael Breitenstein, Luc Van Gool...
PKDD
1998
Springer
113views Data Mining» more  PKDD 1998»
15 years 4 months ago
On Objective Measures of Rule Surprisingness
Most of the literature argues that surprisingness is an inherently subjective aspect of the discovered knowledge, which cannot be measured in objective terms. This paper departs fr...
Alex Alves Freitas