Function-based Case Classification for Improving Business Process Mining

Yaguang Sun, Bernhard Bauer

2015

Abstract

In the last years business process mining has become a wide research area. However, existing process mining techniques encounter challenges while dealing with event logs stemming from highly flexible environments because such logs contain a large amount of different behaviors. As a result, inaccurate and wrong analysis results might be obtained. In this paper we propose a case (a case is an instance of the business process) classification technique which is able to combine domain experts knowledge for classifying cases so that each group is calculated containing the cases with similar behaviors. By applying existing process mining techniques on the cases for each group, more meaningful and accurate analysis results can be obtained.

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Paper Citation


in Harvard Style

Sun Y. and Bauer B. (2015). Function-based Case Classification for Improving Business Process Mining . In Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-096-3, pages 251-258. DOI: 10.5220/0005349202510258


in Bibtex Style

@conference{iceis15,
author={Yaguang Sun and Bernhard Bauer},
title={Function-based Case Classification for Improving Business Process Mining},
booktitle={Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2015},
pages={251-258},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005349202510258},
isbn={978-989-758-096-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Function-based Case Classification for Improving Business Process Mining
SN - 978-989-758-096-3
AU - Sun Y.
AU - Bauer B.
PY - 2015
SP - 251
EP - 258
DO - 10.5220/0005349202510258