Beyond Process Mining: From the Past to Present and Future

Abstract. Traditionally, process mining has been used to extract models from event logs and to check or extend existing models. This has shown to be useful for improving processes and their IT support. Process mining based on historic information hidden in event logs often provides surprising insights for managers, system developers, auditors, and end users. However, thus far, process mining is mainly used in an offline fashion and not for operational decision support. While existing process mining techniques focus on the process as a whole, this paper focuses on individual process instances (cases) that have not yet completed. For these running cases, process mining can used to check conformance, predict the future, and recommend appropriate actions. This paper presents a framework for operational support using process mining and details a coherent set of approaches that focuses on time information. Time-based operational support can be used to detect deadline violations, predict the ...

• Type: Conference
• Year: 2010
• Where: CAISE
• Authors: Wil M. P. van der Aalst, Maja Pesic, Minseok Song
• Keywords: CAISE 2010, Event Logs, Information Technology, Process Mining, Process Mining Techniques