Tianzhong He

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Classification and association rule mining are important data mining tasks. Associative classification integrates association rule mining and classification. Previous studies show that associative classification achieves high classification accuracy and strong flexibility. However, it often generates a huge set of rules when the minimum support is set too(More)
The rule conflict is an important issue for associative classification due to a large set of rules. In this paper, a new approach called Associative Classification with Bayes (AC-Bayes) is proposed. To address rule conflicts, AC-Bayes has two distinguished features: (1) Associative classification is improved. (2) Naïve Bayesian model is applied in process(More)
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