Association Rules for Bank Data - Data Mining

Internal Code: MAS6966

Data Mining:

1. Introduction - What do you expect the Apriori method to accomplish for credit approval data? 2. Data Pre-processing Load the Credit Approval data in RStudio.  You may use the tools menu or you may run read.csv command. What data pre-processing does the Apriori method require for Credit Approval data? Include the commands you ran, the output, and the output interpretation in the report. For each command, explain its purpose. 3. Run the method with default arguments and store the generated rules in a variable called rules. A. Include the command, the output, and the output interpretation in the report. Discuss the number of returned rules and the default arguments. B. Run the inspect command to display the first 10 rules and interpret the output, including the returned rules and metrics.  Include the command, the output, and interpretation in the report 4. Run the method with 2 different combinations of confidence, support, and minimum length values. a. How does changing confidence, support, and minimum length values affect the returned rules? b. What are the differences between support, confidence, and lift metrics for identifying the strongest rules?