Appendix to "Process Mining Pipelines with Controlled Sharing of Data and Algorithms"
DOI10.5281/zenodo.11518117Zenodo11518117MaRDI QIDQ6719337
Dataset published at Zenodo repository.
Sebastian Vestrup, Barbara Weber, Francesca Zerbato, Nicholas Dyhre, Ekkart Kindler, Andrea Burattin
Publication date: 7 June 2024
Copyright license: Creative Commons Attribution 4.0 International
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. This development is a major step in advancing process mining, offering simpler and more efficient ways of implementing and managing complex process mining pipelines on a larger scale. Description: This dataset presents the support for non-functional requirements identified in the paper "Process Mining Pipelines with Controlled Sharing of Data and Algorithms" by existing process mining platforms. Legend: Green cells indicate complete fulfilment. Yellow indicates partial fulfilment. Blue cells indicate uncertain fulfilment. Red indicates no fulfilmnet.
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