Abstract
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, as they provide important decision support. 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. The methodology was tested on a case study and was reflected in considering the practical aspects of its application procedure.
Recommended Citation
Liu, Lingzhe and Daniels, Hennie, "Analysis for Detecting and Explaining Exceptions in Business Data" (2013). BLED 2013 Proceedings. 15.
https://aisel.aisnet.org/bled2013/15