Transforming Association Rules to Business Rules: EasyMiner meets Drools
نویسندگان
چکیده
EasyMiner (easyminer.eu) is a web-based association rule mining software based on the LISp-Miner system. This paper presents a proof-of-concept workflow for learning business rules with EasyMiner from transactional data. The approved rules are exported to the Drools business rules engine in the DRL format. The main focus is the transformation of GUHA association rules to DRL.
منابع مشابه
Business Rule Learning with Interactive Selection of Association Rules
This paper presents the implementation of a classification system based on learning of association rules in conjunction with Drools rule engine. The rules are interactively discovered with a web-based data mining system EasyMiner.eu. The rules are approved and edited by the domain expert before they are deployed for classification.
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