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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.

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Process Mining Pipelines with Controlled Sharing of Data and Algorithms

  • 会议论文

  • 发表日期：

    2025年

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

摘要

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.