Learn Apriori Algorithm in Data Mining - Great Learning
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SOLVED: Q1. (25 points) Using the Apriori algorithm, find the frequent itemsets for the following transaction database using a minimum support of 60%. Then find the association rules for the frequent itemset with the maximum number of items using a minimum confidence of 80%. Show step-by-step execution:Trans ID Item ListKADB D,A,C,E,BCA,B,EB,A,D
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In the Apriori algorithm, we can use a hash tree data structure to efficiently count the support of candidate itemsets. Consider the hash treefor candidate 3-itemsets shown in Figure 6.32.(a) Based on this figure, how many candidate 3-itemsets are there in total?(b) Given a transaction that contains items 1, 2, 5, 6, 8, which of the hash tree leaf nodes will be visited when finding the candidate 3-itemsets contained in the transaction?(c) Use the visited leaf nodes in part (b) to determine the c
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