A transactional data base has five transactions, as shown in the following. A user specifies min_support = 50% and min_confidence = 30%. In the table, 1, 2, 3..... 11 are the item ids. T100 T200 T300 T400 T500 T600 TID Items 1, 2, 4, 5, 6, 8 2, 3, 5, 6, 7 1,3, 4, 5, 8 1, 3, 4, 6, 9, 10 2, 4, 5, 10, 11 1, 3, 4, 9, 10 (a) Find all the frequent itemsets using the Apriori method. In addition, find all interesting association rules from those frequent 3-itemsets, under the user's requirement. (b) Associate rule mining often generates a large number of rules. Using the situation in (a) as an example, discuss two methods that can be used to reduce this number while still maintaining interesting rules.