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Abstract
Associative classifiers (ACs) are predictive models based on association rules (ARs). The algorithms of this family generate the models in three or four steps, the second of which is responsible for ranking the classification association rules (CARs), a special type of AR that contains a class as a consequent. This step is commonly performed using two objective measures (OMs), support and…