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 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 ...

Chapter 8 Association rule mining While \ (K\) -means clustering is used primarily for numerical measures, we often have data where the variables are categorical. A common database type that we ...

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

Ye Guo, Fan Li, Qunying Du, Research on Key Technologies of Spatio-Temporal Analysis and Prediction of Marine Ecological Environment Based on Association Rule Mining Analysis, Journal of Coastal ...

Association rule mining (ARM) identified the 10 most common drug class or active substance pairs prescribed to cases or control individuals on the same day and within 6 months before the index date.