Process Mining Based on Statistic Ordering Relations of Events

Author:

Zhou Huan1,Lin Chuang1,Deng Yi Ping1

Affiliation:

1. University of Tsinghua

Abstract

An explicit process model is vital in business processes. However, it is complicated and time consuming to create a workflow design. Also discords usually occur between the perceived management processes and the actual workflow processes. Under this condition, the process discovery techniques emerge. The aim is to rebuild a workflow model (e.g. a Petri net) of a business process based on the execution log. The model should give an abstract representation of the system and reproduce the log. This model can be further applied for process redesign/improvement and performance/reliability evaluation. In this paper, we present a new algorithm derived from α-algorithm for process discovery in term of Petri nets, where statistic long distance causal relationship is taken into consideration. Also this algorithm covers some shortages in α-algorithm.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference14 articles.

1. Hollingsworth, D.: The workflow reference model. Technical report no. wfmc-tc00-1003, issue 1. 1, Workflow Management Coalition (1995).

2. Mohan, C.: Tutorial: State of the art in workflow management system research and products. In: Proc. Fifth Int. Extending Database Technol- ogy. (March 1996).

3. Peterson.J. L: Petri Net Theory and the Modeling of Systems. Prentice- Hall, Englewood Cliffs (1981).

4. Desel, J., Reisig, W., Rozenberg, G., eds.: Lectures on Concurrency and Petri Nets. Volume 3098. Springer, Berlin (2004).

5. Weske, M.: Business Process Management Concepts, Languages, Architectures. Springer, Berlin (2007).

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