This project implements the FP-Growth algorithm, one of the most efficient methods for mining Frequent Itemsets and Association Rules from large datasets. Unlike the Apriori algorithm, which generates ...

Abstract: The dominant ARM algorithms viz. Apriori and FP-growth, needs huge resources when the input data is huge. First algorithm is efficient, but it generates intermediate conditional FP trees.