26 search results - page 1 / 6 » A Study of Interestingness Measures for Associative Classifi... |
SAC
2010
ACM
12 years 11 months ago
2010
ACM
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...
DMIN
2006
13 years 6 months ago
2006
Association rules discovery is one of the most important tasks in Knowledge Discovery in Data Bases. Since the initial APRIORI algorithm, many efforts have been done in order to de...
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...
IRI
2008
IEEE
13 years 11 months ago
2008
IEEE
Associative classification has aroused significant attention recently and achieved promising results. In the rule ranking process, the confidence measure is usually used to sort t...