Association Rule Mining Python Packages

niaarm

A minimalistic framework for Numerical Association Rule Mining

pyaerial

An implementation of the Aerial neurosymbolic association rule mining algorithm from tabular datasets.

niaarmts

Time series numerical association rule mining variants

fimproject

"Frequent Mining Algorithms" is a Python library that includes frequent mining algorithms. This library contains popular algorithms used to discover frequent items and patterns in datasets. Frequent mining is widely used in various applications to uncover significant insights, such as market basket analysis, network traffic analysis, etc.

ifri-mini-ml-lib

A minimalist machine learning library built from scratch by IFRI AI students to explore and understand core ML algorithms.🇧🇯

apriorib1

apriorib1 is a Python library that applies the very famous unsupervised learning algorithm, apriori, for Association Rule Mining(ARM) on a dataset of transaction/purchase logs and shows the accepted association rules.