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Classification using association rules has added a new dimension to the ongoing research for accurate classifiers. Over the years, a number of associative classifiers based on positive rules have been proposed in literature. The target of this paper is to improve classification accuracy by using both negative and positive class association rules without sacrificing performance. The generation of negative associations from datasets has been attacked from different perspectives by various authorsdoi:10.1109/sysose.2008.4724163 dblp:conf/sysose/KunduIM08 fatcat:4magb7wzi5abhdias7d2c4mqra