Platforms are open Programming language is open; any one of the following is allowed: C, C++, C#, Java, R, Matlab, Perl, Python, Php, visual studio, PLYSQL, etc. Use any programming language of your choice (specify the programming language you use in the project). Operating system is open; any one of the following is allowed: Windows, Solaris Unix, Linux, Mac OS, etc. Hardware is open; any one of the following is allowed: PC, Laptop, Sun Sparc, etc. 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). Platforms are open Programming language is open; any one of the following is allowed: C, C++, C#, Java, R, Matlab, Perl, Python, Php, visual studio, PLYSQL, etc. Use any programming language of your choice (specify the programming language you use in the project). Operating system is open; any one of the following is allowed: Windows, Solaris Unix, Linux, Mac OS, etc. Hardware is open; any one of the following is allowed: PC, Laptop, Sun Sparc, etc. 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)