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Authors: Rene Schult and Gamal Kassem

Affiliation: Institute of Technical and Business Information Systems, Otto-von-Guericke-University, Germany

Keyword(s): ERP systems, reference model, data mining, workflow.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Industrial Applications of Artificial Intelligence ; Information Systems Analysis and Specification ; Modeling Concepts and Information Integration Tools

Abstract: The implementation of an ERP system is a long and cost intensive process. Functions of the ERP system, which are delivered in an enterprise neutral but sector specific fashion need to be adjusted to the specific business requirements of an enterprise. Exact knowledge of the ERP system is required because each ERP system has its own technical concepts and terminologies. Therefore many enterprises employ ERP system experts in order to customise the ERP system to be introduced as well as to further enhance the customisation after its introduction. A concept for the implementation of a Self-Adaptive ERP System should allow for the automatic customisation of an ERP system on the basis of the of enterprise process models provided and analysis of the ERP system usage.

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Paper citation in several formats:
Schult, R. and Kassem, G. (2008). SELF-ADAPTIVE CUSTOMIZING WITH DATA MINING METHODS - A Concept for the Automatic Customizing of an ERP System with Data Mining Methods. In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-8111-38-8; ISSN 2184-4992, SciTePress, pages 70-75. DOI: 10.5220/0001676800700075

@conference{iceis08,
author={Rene Schult. and Gamal Kassem.},
title={SELF-ADAPTIVE CUSTOMIZING WITH DATA MINING METHODS - A Concept for the Automatic Customizing of an ERP System with Data Mining Methods},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2008},
pages={70-75},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001676800700075},
isbn={978-989-8111-38-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - SELF-ADAPTIVE CUSTOMIZING WITH DATA MINING METHODS - A Concept for the Automatic Customizing of an ERP System with Data Mining Methods
SN - 978-989-8111-38-8
IS - 2184-4992
AU - Schult, R.
AU - Kassem, G.
PY - 2008
SP - 70
EP - 75
DO - 10.5220/0001676800700075
PB - SciTePress

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