Detecting and Explaining Business Exceptions for Risk Assessment

Lingzhe Liu; Hennie Daniels; Wout Hofman

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Paper

Detecting and Explaining Business Exceptions for Risk Assessment

Topics: Applications of Expert Systems; Strategic Decision Support Systems

In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 3: ICEIS, 530-535, 2013 , Angers, France

Authors: Lingzhe Liu ¹ ; Hennie Daniels ² and Wout Hofman ³

Affiliations: ¹ Erasmus University, Netherlands ; ² Tilburg University, Netherlands ; ³ TNO, Netherlands

Keyword(s): Explanatory Analysis, Interoperability, Decision Support, Risk Assessment.

Related Ontology Subjects/Areas/Topics: Applications of Expert Systems ; Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Strategic Decision Support Systems

Abstract: Systematic risk analysis can be based on causal analysis of business exceptions. In this paper we describe the concepts of automatic analysis for the exceptional patterns which are hidden in a large set of business data. These exceptions are interesting to be investigated further for their causes and explanations. The analysis process is driven by diagnostic drill-down operations following the equations of the information structure in which the data are organised. Using business intelligence, the analysis method can generate explanations supported by the data.

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Paper citation in several formats:

Liu, L.; Daniels, H. and Hofman, W. (2013). Detecting and Explaining Business Exceptions for Risk Assessment. In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 3: ICEIS; ISBN 978-989-8565-59-4; ISSN 2184-4992, SciTePress, pages 530-535. DOI: 10.5220/0004569905300535

@conference{iceis13,
author={Lingzhe Liu. and Hennie Daniels. and Wout Hofman.},
title={Detecting and Explaining Business Exceptions for Risk Assessment},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 3: ICEIS},
year={2013},
pages={530-535},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004569905300535},
isbn={978-989-8565-59-4},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 3: ICEIS
TI - Detecting and Explaining Business Exceptions for Risk Assessment
SN - 978-989-8565-59-4
IS - 2184-4992
AU - Liu, L.
AU - Daniels, H.
AU - Hofman, W.
PY - 2013
SP - 530
EP - 535
DO - 10.5220/0004569905300535
PB - SciTePress