Implementation of association rules mining algorithms (Apriori|FPGrowth) using python. As a part of hw1 code in NJU class.

You can calculate the frequent items and mining the rules using clean code:

from datasets import DataReader
from algorithms import Itemmining
data = DataReader("GROCERY")
item_mining = Itemmining(data)
item_mining.get_frequent_items(min_sup=0.01, "Apriori")
item_mining.get_rules(min_con=0.5)
rules = item_mining.get_top_rules(50) 

If you want to try new dataset, you only need to put your data in folder datasets and modify datasets/data_reader.py.