不确定进程跟踪实现的概率估计
Probability Estimation of Uncertain Process Trace Realizations
摘要：
流程挖掘是一门分析事件数据的科学学科，这些数据通常收集在称为事件日志的数据库中。最近，不确定事件日志已成为兴趣，其中包含非确定性和随机事件属性，可以代表许多可能的现实生活中的场景。在本文中，我们提出了一种方法来可靠地估计每种情况的概率，允许他们的分析。实验表明，使用我们的方法计算的概率与特定结果发生的真实机会非常匹配，从而可以对不确定数据进行更可靠的分析。
英文摘要：
Process mining is a scientific discipline that analyzes event data, often collected in databases called event logs. Recently, uncertain event logs have become of interest, which contain non-deterministic and stochastic event attributes that may represent many possible real-life scenarios. In this paper, we present a method to reliably estimate the probability of each of such scenarios, allowing their analysis. Experiments show that the probabilities calculated with our method closely match the true chances of occurrence of specific outcomes, enabling more trustworthy analyses on uncertain data.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
