Abstract:
This paper proposes a method to visualize models of acyclic processes based on merging Directly-Follows Graphs (DFG) and Sankey diagrams. DFG is a popular graphical model to visualize discrete process models, while Sankey diagrams are used to represent flows of any kind. Our approach, based on flow diagrams, allows us to highlight individual cases or groups of cases in the overall model. The approach is implemented as a web-based tool that allows us, given an event log of an acyclic process, to construct and analyze the process behavior. We illustrate and evaluate the applicability of the proposed approach using learning processes as examples.
Keywords:data visualization; directly-follows graphs; Sankey diagram; process mining; web application; data analysis.