2 Question 4. [20 points] Consider the following dataset with five transactions: TID items T1 {a, b, c, d, e, f} T2 {g, b, c, d, e, f} T3 {a, h, d, e} T4 {a, i, j, d, f} T5 {j, b, b, d, k, e) > > 9 Let the minimum support level, min_s, be 40% and the minimum confidence level, min_c, be 50%. (a) [8 points] Find all frequent itemsets (e.g., using the Apriori technique). (b) [8 points] Give 2 examples of rules of the type itemset1 => itemsetz [c, s], where itemset, and itemset2 are subsets of (a, b, c, d, e, f, g, h, i, j} and c and s represent the confidence and support level for the rule, respectively. (c) [4 points] Give an example of a strong rule you can infer from the given dataset. Briefly explain why the rule is strong. 2 Question 4. [20 points] Consider the following dataset with five transactions: TID items T1 {a, b, c, d, e, f} T2 {g, b, c, d, e, f} T3 {a, h, d, e} T4 {a, i, j, d, f} T5 {j, b, b, d, k, e) > > 9 Let the minimum support level, min_s, be 40% and the minimum confidence level, min_c, be 50%. (a) [8 points] Find all frequent itemsets (e.g., using the Apriori technique). (b) [8 points] Give 2 examples of rules of the type itemset1 => itemsetz [c, s], where itemset, and itemset2 are subsets of (a, b, c, d, e, f, g, h, i, j} and c and s represent the confidence and support level for the rule, respectively. (c) [4 points] Give an example of a strong rule you can infer from the given dataset. Briefly explain why the rule is strong