Declarative Process Mining with MINERful, Reloaded

Research output: Contribution to journalConference articleAcademicpeer-review

Abstract

Declarative process specifications are defined by a set of behavioural constraints exerted over the execution of activities. These constraints are rooted in Linear Temporal Logic over finite traces. Declarative process mining encompasses a collection of techniques based on recorded process executions (event logs), with the objective of extracting such specifications and enhancing them. This paper presents MINERful, an open-source tool for declarative process mining in its new, reloaded version. It offers a range of functionalities revolving around the mining cycle of a process specification: its automated discovery from event logs, its simplification to remove redundancies and inconsistencies, its simulation to generate synthetic datasets, and fitness checking to gauge its level of conformance with logs. We showcase its usage with a real-world event log in the healthcare domain.

Original languageEnglish
Pages (from-to)1-5
Number of pages5
JournalCEUR Workshop Proceedings
Volume4032
Publication statusPublished - 2025
EventBest Dissertation Award, Doctoral Consortium, and Demonstration and Resources Forum at 23rd International Conference on Business Process Management, BPM-D 2025 - Seville, Spain
Duration: 31 Aug 20255 Sept 2025

Bibliographical note

Publisher Copyright:
© 2025 Copyright for this paper by its authors.

Keywords

  • Automated reasoning
  • Linear Temporal Logic over finite traces
  • Simulation
  • Specification mining

Fingerprint

Dive into the research topics of 'Declarative Process Mining with MINERful, Reloaded'. Together they form a unique fingerprint.

Cite this