BPIC2012-res10939
收藏arXiv2025-09-30 收录
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资源简介：
该数据集包含用于评估局部过程模型（LPM）发现和聚类技术的事件日志。它是更大规模过程挖掘与LPM分析的一部分，重点关注不同的度量方法和聚类算法如何影响结果。该数据集的任务是对局部过程模型进行聚类。
This dataset comprises event logs used to evaluate local process model (LPM) discovery and clustering techniques. As part of a broader research on process mining and LPM analysis, it focuses on how different measurement metrics and clustering algorithms affect the analysis outcomes. The core task of this dataset is to perform clustering on local process models.
