Process Discovery and Guidance Applications of Manually Generated Logs

Stefan Schönig, Christoph Günther, Stefan Jablonski

In this paper, we investigate the problem of the availability of complete process execution event logs in order to offer automatic process model generation (process discovery) possibility by process mining techniques. Therefore, we present our AI4 | Process Observation Project that generates manual logs and guides process participants through process execution. Like this, our project offers the possibility for the automatic generation of process models within organizations, without the availability of any information system. Process participants are encouraged to work with our AI4 | Process Observation Tool by various process execution support functions, like an auto-suggestion of process data and dynamic recommendations of following processes.

Conference: The Seventh International Conference on Internet Monitoring and Protection (ICIMP 2012)
Year: 2012
Location: Stuttgart, Deutschland

Universität Bayreuth -