subgroups is a python library which contains a collection of subgroup discovery algorithms and other data analysis utilities.

A machine learning python package for learning ensembles of subgroups for predictive tasks.

R code for the discovery of COVID-19 subgroups by symptoms and comorbidities.

Redescriptional model mining in python

A heavily modified Exceptional Preferences Mining version of the Python Exceptional Model Mining implemenation by MathynS supporting both an Apriori as well as a Best First algorithm for mining subgroups featuring exceptional preferences.

Code for the paper "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions".

Subgroup discovery method is applied to random forest in order to select subgroups of entities in the dataset, which seems to be able to approximate with a single random tree. This provides us with the interpretable subgroups of dataset, which makes the random forest model less black-box than usual.

The Adaptive Local Knockoff Filter

This repository reproduces the experiments of the paper "Discovering outstanding subgroup lists for numeric targets using MDL" published at ECML-PKDD.

Package containing functions to manage Error Distribution Rules

Text for the paper "Using Constraints to Discover Sparse and Alternative Subgroup Descriptions".

Defense presentation for the dissertation "Leveraging Constraints for User-Centric Feature Selection".

Text for the dissertation "Leveraging Constraints for User-Centric Feature Selection".

Projeto Final de Aprendizado Descritivo @ DCC/UFMG