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 ...
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