Find all frequent item sets using the apriori algorithm

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Reference no: EM133157640

Question: A database has five transactions. The Apriori algorithm uses the downward closure property to prune the candidate search space. The property imposes a clear structure on the set of frequent patterns. Let min sup = 60% and min con f = 80%. Use the "DSC-570 Table" to complete the following:

- Find all frequent item sets using the Apriori algorithm.

- List all strong association rules (with supports and confidence matching the following metarule, where X is a variable representing customers, and item (1) denotes variables representing items (e.g., "A," "B," etc.).

APA style is not required, but solid academic writing?is expected.

Article - Are screening methods useful in feature selection? An empirical study

Attachment:- Apriori algorithm.rar

Reference no: EM133157640

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