A novel associative classification model based on a fuzzy frequent pattern mining algorithm
We propose a novel efficient fuzzy associative classification approach. We exploit a fuzzy version of the FP-Growth algorithm. We perform an experimental analysis on 17 classification datasets. We compare our approach with three well-known associative classifiers.
fuzzy association rule-based classifiers fuzzy fp-growth fuzzy associative classifier fuzzy association rules