
The Frequent Pattern Growth (FP-Growth) algorithm is a highly efficient and popular algorithm for mining frequent itemsets from large transaction databases. It was proposed by Han, Pei, and Yin in 2000 as an improvement over the Apriori algorithm, primarily by Read More …