@inproceedings{88e4b81966bb43d5aa60844d5b2f442a,
title = "Detecting and explaining business exceptions for risk assessment",
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. ",
author = "L. Liu and H.A.M. Dani{\"e}ls and W. Hofman",
year = "2013",
language = "English",
isbn = "9789898365594",
volume = "1",
series = "Lecture Notes in Business Information Processing",
publisher = "Springer Verlag",
pages = "442--447",
editor = "S. Hammoudi and L. Maciaszek and J. Cordeiro and J. Dietz",
booktitle = "Proceedings of the 15th International Conference on Enterprise Information Systems (ICEIS 2013)",
address = "Germany",
note = "15th International Conference on Enterprise Information Systems (ECEIS 2013) ; Conference date: 04-07-2013 Through 07-07-2013",
}