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Process Discovery and Guidance Applications of Manually Generated Logs

Authors:
Stefan Schönig
Christoph Günther
Stefan Jablonski

Keywords: Process Mining, Process Monitoring, Activity Tracking, Guidance through Process Execution

Abstract:
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 the Process Observer 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 the Process Observer by various process execution support functions, like an auto-suggestion of process data and dynamic recommendations of following processes.

Pages: 61 to 67

Copyright: Copyright (c) IARIA, 2012

Publication date: May 27, 2012

Published in: conference

ISSN: 2308-3980

ISBN: 978-1-61208-201-1

Location: Stuttgart, Germany

Dates: from May 27, 2012 to June 1, 2012