24 search results - page 1 / 5 » A study on 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...
KDD
1995
ACM
13 years 8 months ago
1995
ACM
One of the central problems in the field of knowledge discovery is the development of good measures of interestingness of discovered patterns. Such measures of interestingness are...
PKDD
2007
Springer
13 years 10 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...