nadim365 / EECS_4412_A1

Using Apriori algorithm to generate rules from a given dataset

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EECS_4412_A1

Assignment 1 of EECS 4412 course

  • 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)

Running the program:

  • 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

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Using Apriori algorithm to generate rules from a given dataset


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