Declarative Process Mining with MINERful, Reloaded
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Publication date
2025
Authors
Iacometta, Cecilia
Di Ciccio, Claudio
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Document Type
/dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/conferencearticle
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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.
Keywords
Automated reasoning, Linear Temporal Logic over finite traces, Simulation, Specification mining, General Computer Science
Citation
Iacometta, C & Di Ciccio, C 2025, 'Declarative Process Mining with MINERful, Reloaded', CEUR Workshop Proceedings, vol. 4032, pp. 1-5. < https://ceur-ws.org/Vol-4032/paper-43.pdf >