Heitor Murilo Gomes's Projects
Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
This repository includes the adaptive random forest algorithm adaptation for regression tasks (AKA ARF-Reg). It uses as the base learner the FIMTDD decision tree algorithm. Look up the publication for more details. Initially, ARF-Reg was implemented in a previous version of MOA, but this repository is based on MOA 2018.06.
Enhanced machine learning library tailored for data streams, featuring a Python API integrated with MOA backend support. This unique combination empowers users to leverage a wide array of existing algorithms efficiently while fostering the development of new methodologies in both Python and Java.
Cause Effect Rules algorithm
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
A simple python script to plot results overtime for a data stream marking drifts (both abrupt and gradual).
Supplementary material for the paper "Feature Scoring using Tree-Based Ensembles for Evolving Data Streams" -- IEEE Big Data 2019
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Mirror of Apache Samoa (Incubating)
Content for Udacity's Machine Learning curriculum
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
Sample java code showing how to use the MOA (Massive Online Analysis) framework
Allan Lab website
LaTeX Journal Article Templates for R Markdown
Mirror of Apache Spark
Stream Data Mining Library for [Experimental] Structured Streaming
Repository for the StreamingRandomPatches algorithm implemented in MOA 2019.04