A new version of the rule induction system LERS
Fundamenta Informaticae
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Action-Rules: How to Increase Profit of a Company
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Rough sets and boolean reasoning
Granular computing
Mining for Interesting Action Rules
IAT '05 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Developing event-condition-action rules in real-time active database
Proceedings of the 2007 ACM symposium on Applied computing
A reduction technique for prime implicant tables
SWCT '64 Proceedings of the 1964 Proceedings of the Fifth Annual Symposium on Switching Circuit Theory and Logical Design
Action Rules Discovery Based on Tree Classifiers and Meta-actions
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Mining action rules from scratch
Expert Systems with Applications: An International Journal
Action rule discovery from incomplete data
Knowledge and Information Systems
Action rules discovery, a new simplified strategy
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
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An action is defined as controlling or changing some of attribute values in an information system to achieve desired result. An action reduct is a minimal set of attribute values distinguishing a favorable object from other objects. We use action reducts to formulate necessary actions. The action suggested by an action reduct induces changes of decision attribute values by changing the condition attribute values to the distinct patterns in action reducts.