This repository generates process mining event log features. Most of the features have been extracted from several process mining scientific papers. Please feel free to use these features in your process mining projects and contribute to the project, if you develop new ideas :)

Spec-first PyTorch experiment toolkit for simulation and process data

A data process method like a pipeline.

DNN-based quality classification on KAMP precision machining process data.

Studies on industrial process analysis.

Google Data Analytics Professional Certificate

Work related to my dissertation on categorical factor analysis and response time

Machine learning-based soft sensor for predicting debutanizer column product composition using industrial process variables and regression models.

Detecting Selected Non-Random Patterns with Individuals Control Charts

Solução para os desafios de Engenheiro de Dados Júnior da CBLab. Este projeto demonstra um pipeline de dados completo e modular, utilizando Node.js/Express para APIs, Docker/Docker Compose para orquestração e Node-RED para ingestão, seguindo práticas de Data Lake, arquitetura em camadas e testes unitários.

Replication package for "Do facial-affect process data improve cognitive measurement? An adversarial out-of-sample benchmark." Lee & Wang (2026). Code and aggregate results only; no participant data.

One typed HTTP API in front of every industrial historian (PI, Influx, Wonderware…). Read-only. 22 MB binary. Apache-2.0.

Small Java 21 / Spring Boot REST API for process-check data, layered backend structure, validation and H2 persistence.