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. One problem Apriori ...

This paper is to find closely related features using association rule mining method. Apriori algorithm is used to find closely related attributes using support and confidence measures.

Association rules mining helps us reveal complex relationships between microorganisms and serves as a feature selection tool to improve disease classification.

Data mining uses Association Rule Mining (ARM) as one of its most effective techniques which helps retailers discover meaningful consumer behavior patterns. The technique reveals concealed buying ...