Real-life logs for process mining

该数据集包含七个真实生活日志，用于评估FlexHMiner方法在发现层次化流程方面的效果。这些日志经过筛选，并被用作比较FlexHMiner生成的层次化模型质量的基准。数据集的规模涵盖了不同活动、事件、案例、独特序列以及每个案例的事件的统计信息。该任务涉及流程发现和模型评估。

This dataset contains seven real-life event logs, which are used to evaluate the efficacy of the FlexHMiner method in discovering hierarchical processes. These logs have been pre-filtered and serve as a benchmark for comparing the quality of hierarchical models generated by FlexHMiner. The dataset includes statistical information covering multiple dimensions such as the count of distinct activities, events, cases, unique sequences, and events per case. This task involves process discovery and model evaluation.