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Compared with the Apriori algorithm which suffers from large computational Price tag as a result of applicant generation and many database scans. FP-Growth avoids these inefficiencies by compressiSemi-supervised learning is often utilized to coach algorithms for classification and prediction needs when huge volumes of labeled data are unavailable.E

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