24 search results - page 2 / 5 » A study on interestingness measures for associative classifi... |
ESEM
2008
ACM
13 years 6 months ago
2008
ACM
This paper proposes a fault-prone module prediction method that combines association rule mining with logistic regression analysis. In the proposed method, we focus on three key m...
PKDD
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. We propose a formal definition of the robustness of association rules for interestingness measures. It is a central concept in the evaluation of the rules and has only be...
SDM
2011
SIAM
12 years 7 months ago
2011
SIAM
Popular data mining methods support knowledge discovery from patterns that hold in binary relations. We study the generalization of association rule mining within arbitrary n-ary ...
KDID
2004
13 years 6 months ago
2004
Emerging patterns (EPs) are associations of features whose frequencies increase significantly from one class to another. They have been proven useful to build powerful classifiers ...
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
The immense explosion of geographically referenced data calls for efficient discovery of spatial knowledge. One critical requirement for spatial data mining is the capability to ...