Instructions
Create 10 items (e.g. diapers, clothes, etc.) usually seen on Amazon, in K-mart, or in any other stores or supermarkets.
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).
Repeat (1) by creating 4 additional, different databases each containing 20 transactions.
Using the Apriori algorithm, generate and print out all the association rules and the input transactions for each of the 5 transactional databases you created (support and confidence should be user-specified parameters, so the output should show different support and confidence values with respect to different databases).
.