Process events are recorded by multiple information systems at different granularity levels. Based on the resulting event logs, process models are discovered at different granularity levels, as well. Events stored at a fine-grained granularity level, for example, may hinder the discovered process model to be displayed due the high number of resulting model elements. The discovered process model of a real-world manufacturing process, for example, consists of 1,489 model elements and over 2,000 arcs. Existing process model abstraction techniques could help reducing the size of the model, but would disconnect it from the underlying event log. Existing event abstraction techniques do neither support the analysis of mixed granularity levels, nor interactive exploration of a suitable granularity level. To enable the exploration of discovered process models at different granularity levels, we propose INEXA, an interactive, explainable process model abstraction method that keeps the link to the event log. As a starting point, INEXA aggregates large process models to a "displayable" size, e.g., for the manufacturing use case to a process model with 58 model elements. Then, the process analyst can explore granularity levels interactively, while applied abstractions are automatically traced in the event log for explainability.

基于不同粒度级别的信息系统记录的过程事件，在生成的事件日志的基础上，也发现了不同粒度级别的过程模型。为了实现对不同粒度级别的发现的过程模型的可视化和交互探索，我们提出了INEXA，一个交互式且可解释的过程模型抽象方法，保持与事件日志的联系。

INEXA: 通过面向对象的流程挖掘进行交互和可解释的流程模型抽象