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 ...
This project implements the FP-Growth (Frequent Pattern Growth) algorithm for mining frequent itemsets from transactional data using Python. The implementation is validated with small illustrative ...
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