DISCOVER MINER: A SIMPLE APPROACH TO OPTIMIZE PROCESS MINING MODELLING

Authors

  • Lucas Dias Barreto Author
  • Wosley da Costa Arruda Author
  • Marcelo Lisboa Rocha Author
  • Élio Ribeiro Faria Junio Author
  • Silvanete Maria da Silva Author
  • Marcelo da Silva Lisboa Author

DOI:

https://doi.org/10.56238/arev7n6-158

Keywords:

Process Mining Modelling, Model Discovery, Petri net, Optimization

Abstract

This article presents the Discover-Miner platform that apply four process mining models: Alpha Miner, Discover-Miner, Heuristic Miner, and X_Processes. The objective was to identify the best mining model, evaluating it based in one of three metrics: Fitness, Precision, and Generalization. The platform generates the metrics and Petri nets for each processed log. The methodology included the systematic application of the models to event logs, evaluating the results with the chosen metrics. It was concluded that the platform is useful in evaluating process mining models, helping managers choose the most suitable model. The study also provides guidelines for future research and practical applications, aiming to improve the efficiency and accuracy of business analyses.

Downloads

Download data is not yet available.

Downloads

Published

2025-06-13

Issue

Section

Articles

How to Cite

BARRETO, Lucas Dias; ARRUDA, Wosley da Costa; ROCHA, Marcelo Lisboa; JUNIO, Élio Ribeiro Faria; DA SILVA, Silvanete Maria; LISBOA, Marcelo da Silva. DISCOVER MINER: A SIMPLE APPROACH TO OPTIMIZE PROCESS MINING MODELLING. ARACÊ , [S. l.], v. 7, n. 6, p. 31932–31949, 2025. DOI: 10.56238/arev7n6-158. Disponível em: https://periodicos.newsciencepubl.com/arace/article/view/5858. Acesso em: 5 dec. 2025.