A transaction database contains ten transactions as shown below: TID Items bought 1 {s, u, e}...

 

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A transaction database contains ten transactions as shown below: TID Items bought 1 {s, u, e} 2 {e, r, i, c} 3 {s, a, m, u, e, l} 6 8 9 10 {s, o, p, h, i, a} {e, r, i, c} {n, i, c, k} {p, a, t, r, i, c, k} {e, m, i, l, y} {c, h, a, r, l, e, s} {l, i, d. a} Let min_sup=30% and min-_conf-60%. (a) Using FP-growth, find all frequent itemsets that contain item i. Show the steps. (b) Find all the strong association rules whose consequent is i. (c) Are there any misleading rules in the result of (b)? If yes, identify them and explain why they are misleading. A transaction database contains ten transactions as shown below: TID Items bought 1 {s, u, e} 2 {e, r, i, c} 3 {s, a, m, u, e, l} 6 8 9 10 {s, o, p, h, i, a} {e, r, i, c} {n, i, c, k} {p, a, t, r, i, c, k} {e, m, i, l, y} {c, h, a, r, l, e, s} {l, i, d. a} Let min_sup=30% and min-_conf-60%. (a) Using FP-growth, find all frequent itemsets that contain item i. Show the steps. (b) Find all the strong association rules whose consequent is i. (c) Are there any misleading rules in the result of (b)? If yes, identify them and explain why they are misleading.

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To find frequent itemset support count should be greater than or eq... View the full answer