The FP-Growth (Frequent Pattern Growth) algorithm is a data mining technique used to discover frequent itemsets within a transaction database without generating candidate sets, unlike the Apriori ...

This project performs Market Basket Analysis using the FP-Growth algorithm. It analyzes transaction data from a CSV file and generates frequent itemsets and association rules to uncover purchasing ...

Abstract: FP-growth is a classical algorithm in frequent pattern mining, which is often used in static data mining. Some researches have been done on using FP-growth algorithm to analyze streaming ...

Abstract: FP-growth algorithm recursively generates huge amounts of conditional pattern bases and conditional FP-trees when the dataset is huge. In such a case, both the memory usage and computational ...

Yuxiong He has posted a great look at multicore parallelization of the FP-tree algorithm for frequent pattern mining via the Cilkarts blog. Naturally, the example provides a Cilk++ sample ...