Authors: B. F. van Dongen, W. M. P. van der Aalst
Tags: 2004, conceptual modeling
Deploying process-driven information systems is a time-con-suming and error-prone task. Process mining attempts to improve this by automatically generating a process model from event-based data. Existing techniques try to generate a complete process model from the data acquired. However, unless this model is the ultimate goal of mining, such a model is not always required. Instead, a good visualization of each individual process instance can be enough. From these individual instances, an overall model can then be generated if required. In this paper, we present an approach which constructs an instance graph for each individual process instance, based on information in the entire data set. The results are represented in terms of Event-driven Process Chains (EPCs). This representation is used to connect our process mining to a widely used commercial tool for the visualization and analysis of instance EPCs.Read the full paper here: https://link.springer.com/chapter/10.1007/978-3-540-30464-7_29
