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The Apriori algorithm makes use of prior knowledge of subset support properties. (c) Given frequent itemset l and subset s of l, prove that the
The Apriori algorithm makes use of prior knowledge of subset support properties.
(c) Given frequent itemset l and subset s of l, prove that the confidence of the rule
s (ls) cannot be more than the confidence ofs(ls), where s is a subset of s.
(d) A partitioning variation of Apriori subdivides the transactions of a database D
into n nonoverlapping partitions. Prove that any itemset that is frequent in D must be frequent in at least one partition of D.
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