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Data-driven business process analysis is essential for improving organizational efficiency and driving innovation. Traditional process mining methods, which rely on a single-case notion, often produce inaccurate results and fail to support ongoing analysis of complex, multi-layered processes. Object-Centric Process Mining (OCPM) overcomes these limitations by allowing multiple case notions, providing new opportunities to analyze process logs in greater detail. This paper investigates how drilling down and rolling up object types in OCPM can reveal additional patterns within object-centric event logs. Our results show that these techniques can uncover more detailed working patterns, enhancing our understanding of process behavior and creating new possibilities for future analysis of process data.

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Uncovering Patterns in Object-Centric Process Mining: An Approach Using Drill-Down and Roll-Up Techniques

  • 会议论文

  • 发表日期：

    2025年

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  • Najmeh Miri,
  • Amin Jalali

摘要

Data-driven business process analysis is essential for improving organizational efficiency and driving innovation. Traditional process mining methods, which rely on a single-case notion, often produce inaccurate results and fail to support ongoing analysis of complex, multi-layered processes. Object-Centric Process Mining (OCPM) overcomes these limitations by allowing multiple case notions, providing new opportunities to analyze process logs in greater detail. This paper investigates how drilling down and rolling up object types in OCPM can reveal additional patterns within object-centric event logs. Our results show that these techniques can uncover more detailed working patterns, enhancing our understanding of process behavior and creating new possibilities for future analysis of process data.