65 search results - page 1 / 13 » Selecting the right interestingness measure for association ... |
KDD
2002
ACM
14 years 5 months ago
2002
ACM
Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as...
PKDD
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. In the literature of data mining and statistics, numerous interestingness measures have been proposed to disclose succinct object relationships of association patterns. H...
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...
CORR
2008
Springer
13 years 4 months ago
2008
Springer
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. Many different measures of interestingness have been proposed for ...
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...