run bellow command for installing all packages

pip install -r requirements.txt

Put csv data under this directory "infrastructure/data_sources/datasets". There are also 4 template under this directory which you can use to test the algorithm.

After installing all package dependencies, just run the main.py file in the root directory. After running main.py, you must give the name of dataset which is under "infrastructure/data_sources/datasets" directory and also give supportMin as int number.

You can see generated frequent k-itemsets in .txt file with {datasetName}.txt.