Question
During the candidate itemset generation in the Apriori method from L to Ck+1, we use a rule to judge when we can merge two
During the candidate itemset generation in the Apriori method from L to Ck+1, we use a rule to judge when we can merge two frequent k-itemsets into one candidate (k+1)-itemset. However, it seems that the rule ignores some pairs of the frequent k-itemsets. For instance, for L3={{ABC). (ABD). (ABE). {ACE)....). according the rule, we can merge (ABC) and (ABD) to get (ABCD), which is a 4- itemset, but we do not need to merge (ABE) and (ACE) to get {ABCE), which is also a 4-itemset. Argue that the rule is correct, i.e., we can safely ignore the merging between (ABE) and {ACE}.
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Get StartedRecommended Textbook for
Introduction to Data Mining
Authors: Pang Ning Tan, Michael Steinbach, Vipin Kumar
1st edition
321321367, 978-0321321367
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