How would the support and confidence be calculated in this scenario?

6.8 A database has four transactions. Let min-sup 60% and min-conf-80%. cust ID TID items-bought (in the form of brand-item category) 01 T100 King's-Crab, Sunset-Milk, Dairyland-Cheese, Best-Bread) 02 01 T300 [Westcoast-Apple, Dairyland-Milk, Wonder-Bread, Tasty-Pie) 03 T400 Wonder-Bread, Sunset-Milk, Dairyland-Cheese] T200 [Best-Cheese, Dairyland-Milk, Goldenfarm-Apple, Tasty-Pie, Wonder-Bread) (a) At the granularity of item.category (e.g., item, could be "Milk"), for the rule template, VX E transaction, buys(X, itemi A buys(X, item2)buys(X, item) [s,c]., list the frequent k-itemset for the largest k, and all the strong association rules (with their support s and confidence c) containing the frequent k-itemset for the largest k. for the rule template, YXe customer, buys(X,item) buys(X,item2) buys(X,items), list the frequent k-itemset for the largest k (but do not print any rules)