Anis Suhailis Abdul Kadir

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Association rule mining is one of the most important tasks in data mining. The basic concept of association rules is to mine the interesting (positive) frequent patterns from a transaction database. However, mining the negative patterns has also attracted the attention of researchers in this area. The aim of this study is to develop a new model for mining(More)
Negative association rule (NAR) mining has created more attention recently due to the knowledge and discovery of the interestingness of the pattern of the negative association rules and the challenges during the mining process. Pattern from negative association rules are considered to be unique and unexpected compared to positive rules. Negative association(More)
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