6 search results - page 1 / 2 » APRIORI-SD: Adapting Association Rule Learning to Subgroup D... |
IDA
2003
Springer
14 years 3 months ago
2003
Springer
ML
2006
ACM
13 years 9 months ago
2006
ACM
Abstract Relational rule learning algorithms are typically designed to construct classification and prediction rules. However, relational rule learning can be adapted also to subgr...
ILP
1999
Springer
14 years 2 months ago
1999
Springer
Numerous measures are used for performance evaluation in machine learning. In predictive knowledge discovery, the most frequently used measure is classification accuracy. With new...
JMLR
2008
13 years 9 months ago
2008
Closed sets have been proven successful in the context of compacted data representation for association rule learning. However, their use is mainly descriptive, dealing only with ...
JMLR
2010
13 years 4 months ago
2010
Subgroup discovery aims at finding subsets of a population whose class distribution is significantly different from the overall distribution. A number of multi-class subgroup disc...