In contrast to the Apriori algorithm which suffers from large computational Charge due to candidate generation and a number of database scans. FP-Growth avoids these inefficiencies by compressiSystems that happen to be properly trained on datasets gathered with biases may perhaps show these biases on use (algorithmic bias), Consequently digitising