594 search results - page 1 / 119 » Heuristic Measures of Interestingness |
PKDD
1999
Springer
13 years 9 months ago
1999
Springer
When mining a large database, the number of patterns discovered can easily exceed the capabilities of a human user to identify interesting results. To address this problem, variou...
PKDD
2005
Springer
13 years 10 months ago
2005
Springer
In the last few years, the data mining community has proposed a number of objective rule interestingness measures to select the most interesting rules, out of a large set of discov...
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...
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...