A MapReduce Approach for Mining Multi-Perspective Declarative Process Models

Christian Sturm; Stefan Schönig; Stefan Jablonski

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Paper

A MapReduce Approach for Mining Multi-Perspective Declarative Process Models

Topics: Business Modeling and Business Process Management; Data Mining

In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS, 585-595, 2018 , Funchal, Madeira, Portugal

Authors: Christian Sturm ; Stefan Schönig and Stefan Jablonski

Affiliation: University of Bayreuth, Germany

Keyword(s): Process Mining, Process Discovery, Multi-Perspective Process Model, Declare, MapReduce, Business Process Management.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: Automated process discovery aims at generating a process model from an event log. Such models can be represented as a set of declarative constraints where temporal coherencies can also be intertwined with dependencies upon value ranges of data parameters and resource characteristics. Existing mining tools do not support multi-perspective constraint discovery or are not efficient enough. In this paper, we propose an efficient mining framework for discovering multi-perspective declarative models that builds upon the distributed processing method MapReduce. Mining performance and effectiveness have been tested on several real-life event logs.

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Paper citation in several formats:

Sturm, C.; Schönig, S. and Jablonski, S. (2018). A MapReduce Approach for Mining Multi-Perspective Declarative Process Models. In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-298-1; ISSN 2184-4992, SciTePress, pages 585-595. DOI: 10.5220/0006710305850595

@conference{iceis18,
author={Christian Sturm. and Stefan Schönig. and Stefan Jablonski.},
title={A MapReduce Approach for Mining Multi-Perspective Declarative Process Models},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2018},
pages={585-595},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006710305850595},
isbn={978-989-758-298-1},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - A MapReduce Approach for Mining Multi-Perspective Declarative Process Models
SN - 978-989-758-298-1
IS - 2184-4992
AU - Sturm, C.
AU - Schönig, S.
AU - Jablonski, S.
PY - 2018
SP - 585
EP - 595
DO - 10.5220/0006710305850595
PB - SciTePress