COMS6111 P3 Extract Association Rules

a. Team members: Jiayi Yan - jy2677 Jiaying Xu - jx2238

b. Files: README apriori.py main.py

c. How to run python main.py <min_supp> <min_conf> : csv file name <t_es>: float in (0, 1) <t_ec>: float in (0, 1)

Part 2 Association Rule Mining Algorithm

1. Read and parse the input csv file, and generate large 1-itemsets at the same time. Large word sets and their locations in the document are recorded.
2. Generate k-itemsets using k-1-itemsets .
3. Remove itemsets whose subsets are not in k-1-itemsets. Calculate support and remove itemsets with support less than min_supp Calculate confidence
4. Repeat step 2,3 until no more item sets can be generated.