论文信息 - Business Rule Learning with Interactive Selection of Association Rules

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.

Stanislav Vojír | Tomás Kliegr | Premysl Václav Duben

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