As opposed to the Apriori algorithm which suffers from higher computational Expense resulting from applicant generation and a number of database scans. FP-Growth avoids these inefficiencies by compressiAs an example, an algorithm can be fed a lesser quantity of labeled speech data and after that qualified over a much bigger list of unlabeled speech