A Zoom-In Process Mining Based Analysis Model for Document Workflows

The paper presents a zoom-in process mining based analysis model for document workflows. The model aims to improve document management processes by utilizing process discovery and visual analysis techniques. It focuses on creating visual models and tools to identify deviations in document workflows and uses Directly Follows Graphs (DFG) for visual modeling. The model also introduces trace categories to simplify workflow models and provides an outlier analysis method to help identify groups of documents demanding larger amounts of resources. Combining process discovery and visualization techniques with outlier detection methods allows for analysis of document workflows from several perspectives. Zoom-in user interface along with the proposed methods of model simplification (e.g. trace categories) allows the model to represent advanced document workflows as series of easy manageable visualizations.