Process Mining Pipelines with Controlled Sharing of Data and Algorithms

Andrea Burattin, Ekkart Kindler, Nicholas Dyhre, Sebastian Vestrup, Francesca Zerbato, Barbara Weber

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Process mining leverages execution traces within an organisation’s IT systems to gain insights into its processes. Despite being a mature discipline in academia and industry, setting up process mining pipelines is still a complex task and involves programming, manual steps, and considerations of privacy and intellectual property. This paper introduces a platform based on a distributed architecture that helps define, deploy, and execute process mining pipelines across organisations. The requirements for this distributed architecture and platform are derived from a set of process mining scenarios, whose relevance is validated through a survey. Furthermore, this paper introduces a prototype for an initial version of the platform, demonstrating feasibility and supporting the specified requirements.
Original languageEnglish
Title of host publicationProceedings of the BPM 2024 International Workshops Business Process Management Workshops
Volume534
PublisherSpringer
Publication date2025
Pages357-369
ISBN (Print)978-3-031-78665-5
ISBN (Electronic)978-3-031-78666-2
DOIs
Publication statusPublished - 2025
EventThe 22nd International Conference on Business Process Management - Krakow, Poland
Duration: 1 Sept 20246 Sept 2024

Conference

ConferenceThe 22nd International Conference on Business Process Management
Country/TerritoryPoland
CityKrakow
Period01/09/202406/09/2024

Fingerprint

Dive into the research topics of 'Process Mining Pipelines with Controlled Sharing of Data and Algorithms'. Together they form a unique fingerprint.

Cite this