Separate-and-Conquer Rule Learning
Artificial Intelligence Review
Domain knowledge to support the discovery process: previously discovered knowledge
Handbook of data mining and knowledge discovery
Argument based machine learning applied to law
Artificial Intelligence and Law - Argumentation in artificial intelligence and law
Argument based machine learning
Artificial Intelligence
On combined classifiers, rule induction and rough sets
Transactions on rough sets VI
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Argument based learning allows experts to express their domain, local knowledge about the circumstances of making classification decisions for some learning examples. In this paper we have incorporated this idea in rule induction as a generalization of the MODLEM algorithm. To adjust the algorithm to the redefined task, a new measure for evaluating rule conditions and a new classification strategy with rules had to be introduced. Experimental studies showed that using arguments improved classification accuracy and structure of rules. Moreover the proper argumentation improved recognition of the minority class in imbalanced data without essential decreasing recognition of the majority classes.