- Using Apriori algorithm to generate frequent itemsets
- pruning the rules that don't meet the support threshold given
- generating the rules from the freq itemsets generated
- pruning the rules that have confidence lower than the confidence threshold
- using the lift measure to prune rules that are misleading (lift <= 1.0)
- to run the program use the following command (runs the main script to output rules with their respective names in an organized manner):
python main.py