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Dm assignment
1. Assignment
Due date: Oct 15 (Evening)
Oct 17 (Weekend)
Suppose that the following transaction dataset is given for association rule
mining. Answer the questions below. Assume that the minimum supportis 30%.
1. What is an “association rule”?
2. List all the frequent itemset in the above dataset.
3. Supposewe use the Apriori algorithm. List all the itemsets that become
candidate frequent itemsets but turn out not to be frequent itemsets in the
above dataset.
4. Draw the initial FP-tree for the above dataset when the FP-Growth
algorithm is used.
TID Itemset
1 b
2 a, b
3 a, b, c
4 a, b, d
5 b, c, d
6 b, c
7 b
8 a, b, c
9 b
10 a, b