ck-FARM: An R package to discover big data associations for business intelligence

Abstract

Fuzzy association rule mining (FARM) is a well-known data mining algorithm to identify frequently occurring patterns from datasets, in which the fuzzy set theory is applied to consider linguistic variables for building an explainable reasoning system. In this study, an improved algorithm, namely ck-FARM, is proposed as an R package. Differing from the typical FARM mechanism, the statistical significance of the parameter correspondence is examined, while the fuzzy membership functions are autonomously built and adapted to the given datasets. Consequently, the adaptability and reliability of building fuzzy association rules can be enhanced.

Keywords

• Association rule mining
• Big data
• Business intelligence
• R package