2. Consider the market basket transactions shown in Table below TransID TO01 TOO2 T003 T004 T005 T006 TOO7 T008 Items A, B, E BD B,C A,B,D , B,C AC | A, B, C, E | A, B, C T009 (a) Assume minsup = 2 (b) Find the frequent itemset using Apriori Algorithm. (c) Find the frequent itemset by FP Growth Algorithm. Bonus: 3. Describe how data mining can help the company by giving specific examples of how techniques such as clustering, classification, association rule mining, and anomaly detection can be applied 2. Consider the market basket transactions shown in Table below TransID TO01 TOO2 T003 T004 T005 T006 TOO7 T008 Items A, B, E BD B,C A,B,D , B,C AC | A, B, C, E | A, B, C T009 (a) Assume minsup = 2 (b) Find the frequent itemset using Apriori Algorithm. (c) Find the frequent itemset by FP Growth Algorithm. Bonus: 3. Describe how data mining can help the company by giving specific examples of how techniques such as clustering, classification, association rule mining, and anomaly detection can be applied