论文标题
流程挖掘中的不确定案例标识符：单击数据上事件案例相关问题的用户研究
Uncertain Case Identifiers in Process Mining: A User Study of the Event-Case Correlation Problem on Click Data
论文作者
论文摘要
在当今可用的事件数据的许多来源中，一个突出的是用户交互数据。在使用应用程序或网站期间，可以记录用户活动，从而导致一种通常称为单击数据的用户交互数据。使用过程挖掘对点击数据进行分析的障碍是数据中缺少案例标识符。在本文中，我们在单击数据上显示了一个案例和用户研究，以在移动性共享公司的用户交互事件中进行事件案例相关性。为了重建该过程的案例概念，我们应用了一种新颖的方法来在单独的用户会话中汇总用户交互数据，以基于案例为基于神经网络的案例。为了验证我们的发现，我们通过与流程专家的访谈进行定性讨论过程挖掘分析对由此产生的良好事件日志的影响。
Among the many sources of event data available today, a prominent one is user interaction data. User activity may be recorded during the use of an application or website, resulting in a type of user interaction data often called click data. An obstacle to the analysis of click data using process mining is the lack of a case identifier in the data. In this paper, we show a case and user study for event-case correlation on click data, in the context of user interaction events from a mobility sharing company. To reconstruct the case notion of the process, we apply a novel method to aggregate user interaction data in separate user sessions-interpreted as cases-based on neural networks. To validate our findings, we qualitatively discuss the impact of process mining analyses on the resulting well-formed event log through interviews with process experts.
