Andrea Burattin

Associate Professor
Technical University of Denmark


Process Mining Pipelines with Controlled Sharing of Data and Algorithms

A. Burattin, E. Kindler, N. Dyhre, S. Vestrup, F. Zerbato, and B. Weber
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

Paper Information and Files

In Proceedings of Innov8BPM4Value (BPM Workshop); Krakow, Poland; 2024.

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Latest website update: 04 November 2024.