Consider the database D depicted in Table 2, containing five transactions. Consider minsup = 60% and minconf = 80%. TID Items T100 T200 T300 T400 (M, U, C, K, Y} T500 (C, O, O, K, I, E) Table 2: Database D of transactions to be analysed. (M, O, N, K, E, Y} (D, O, N, K, E, Y} (M. A, K, E) i. Using Apriori algorithm, find all frequent item-sets in the database D. List all of the strong association rules and corresponding support S and confidence C matching the following meta rule, where X is a variable representing customers, and Item denotes variables representing items (e.g., "A", "O", etc.) VED, buys(X, item) A buys(X, item2) buys(X, item3) [S, C].