Association-Rules-using-Python

Association Rules:

Also called as Market Basket Analysis or Affinity Analysis or Relationship mining.

Objective:

           To find best rules

How can Association Rules be used ?

          1. Promotion on one item, raise price of related item
          2. Placement in Store
          3. Stocking
          4. Product bundling

Rule Form

                Antecedent ---> Consequent [ support,confidence ] And lift

Apriori Algorithm for Association Rules:

  For K products,
  1. Set min support criteria
  2. Generalize list of 1-item sets that meet support criteria
  3. Use list of 1-item sets to generate list of 2-item sets that meet support criteria
  4. Use list of 2-item sets to generate list of 3-item sets that meet support criteria
  5.continue up to K-item sets

How to clean these rules ?

        We also get duplicate or repeated rules, such rules can be cleaned
          We check for lift ratio, if having more lift ratio we keep that and discard other one

Data Used:

    Groceries, Book, My_movies

Programming:

      Python

The Codes regarding this Association Rules with its datasets Groceries, Book, My_movies are present in this Repository in detail