Create 30 items usually seen in Amazon, K-mart, or any other supermarkets (e. g. diapers, clothes, etc.). (1) Create a database of 20 transactions each containing some of these items. The information can be stored in a file, or a DBMS (e. g. ORACLE).

2) Repeat (1) by creating 4 additional, different databases each containing 20 transactions. Using Apriori, generate and print out all the association rules and the input transactions for each of the 5 transaction databases you created (support and confidence should be user-determined parameter values, so the output should show different support and confidence values).