loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Yaguang Sun and Bernhard Bauer

Affiliation: University of Augsburg, Germany

ISBN: 978-989-758-096-3

Keyword(s): Business Process Mining, Multi-label Case Classification, Sequential Pattern Mining, Business Process Extension.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Management ; Ontologies and the Semantic Web ; Sensor Networks ; Signal Processing ; Society, e-Business and e-Government ; Soft Computing ; Web Information Systems and Technologies

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.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.210.28.227

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 2: ICEIS, ISBN 978-989-758-096-3, pages 251-258. DOI: 10.5220/0005349202510258

@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 2: ICEIS,},
year={2015},
pages={251-258},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005349202510258},
isbn={978-989-758-096-3},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 2: 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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.