Please explain how to do this, thank you

Exercise 2. Let I = {I1, I2, I3, ..., 110 } be a set of items, where Ij denotes an item ID. Consider the transaction database D, defined in the table below: Transaction ID T1 T2 T3 T4 T5 List of Items in the Transaction 11, 13, 14 11, 12 15, 16, 17,19 11, 12, 16,I10 I1, 16, 18,19 (a) Use Apriori algorithm to find the frequent itemsets in the transaction database D. Use minimum support threshold = 40%. Note that this is a manual application of Apriori. You can use Examples 6.3 and 6.4 in Section 6.2 of our textbook as a guide. (b) Generate all strong association rules from the itemsets obtained in the step (a). Use minimum confidence threshold = 80%