Explora: a multipattern and multistrategy discovery assistant
Advances in knowledge discovery and data mining
Pruning and summarizing the discovered associations
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Post-processing Operators for Browsing Large Sets of Association Rules
DS '02 Proceedings of the 5th International Conference on Discovery Science
Distribution rules with numeric attributes of interest
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Fast Subgroup Discovery for Continuous Target Concepts
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
A tool for interactive subgroup discovery using distribution rules
EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence
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We propose an approach to subgroup discovery using distribution rules (a kind of association rules with a probability distribution on the consequent) for numerical properties of interest. The objective interest of the subgroups is measured through statistical goodness of fit tests. Their subjective interest can be assessed by the data analyst through a visual interactive subgroup browsing procedure.