The use of business intelligence and predictive analytics in detecting and managing occupational fraud in Nigerian banks
Year of publication: |
2019
|
---|---|
Authors: | Nwafor, Chioma N. ; Nwafor, Obumneme Z. ; Onalo, Chris |
Published in: |
The journal of operational risk. - London : Infopro Digital, ISSN 1744-6740, ZDB-ID 2238989-1. - Vol. 14.2019, 3, p. 95-120
|
Subject: | business intelligence (BI) | fraud | outlier detection | predicitve analytics | operational risks | Betriebliches Informationssystem | Business intelligence system | Nigeria | Betrug | Fraud | Prognoseverfahren | Forecasting model |
-
Finding needles in a haystack : using data analytics to improve fraud prediction
Perols, Johan L., (2017)
-
Rodatus, Christian, (2008)
-
Der Faktor Zeit in der Betrugsaufdeckung
Hirsch, Jürgen, (2013)
- More ...
-
Determinants of non-performing loans : an explainable ensemble and deep neural network approach
Nwafor, Chioma Ngozi, (2023)
- More ...