Association Rule Mining Python Packages

pyaerial

Scalable association rule mining from tabular datasets.

niaarm

A minimalistic framework for Numerical Association Rule Mining

raise-xai

RAISE: tokenizer-aware rule-based explanations for transformer log anomaly detection

niaarmts

Nature-Inspired Algorithms for Time Series Numerical Association Rule Mining

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.

fimprojects

"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.