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Association rules mining is one of the most popular data mining models. Minimum-support is used in association rules mining algorithms, like Apriori, FP-growth, eclat, etc.
In this paper, the authors propose a hybrid system of SMS classification to detect spam or ham, using Naive Bayes classifier and Apriori algorithm.
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