Applied Intelligence
Action Rules and the GUHA Method: Preliminary Considerations and Results
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
A framework for mining interesting pattern sets
Proceedings of the ACM SIGKDD Workshop on Useful Patterns
An XML format for association rule models based on the GUHA method
RuleML'10 Proceedings of the 2010 international conference on Semantic web rules
Applying domain knowledge in association rules mining process: first experience
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
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This paper introduces an attempt for a holistic approach to integrating background knowledge with PMML in the area of association rule mining. An XML format for capturing background knowledge inspired by PMML that scopes pre-processing and background knowledge association rules is presented. We argue that background knowledge should be kept separated from a specific dataset to foster its reusability and propose an XML format that addresses the problem of interlinking with background knowledge. The discussion is motivated by our experience from development of domain expert oriented data mining support platform.