Cluster analysis for anomaly detection in accounting

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Bibliographische Detailangaben
Veröffentlicht in:	Audit analytics in the financial industry
1. Verfasser:	Thiprungsri, Sutapat (VerfasserIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	2019
Schlagworte:	Rechnungswesen > Clusteranalyse > Anomaly Detection > Exploratory Data Analysis > Aufsatz im Buch
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Titel	Jahr	Verfasser
Audit analytics : a field study of credit card after-sale service problem detection at a major bank	2019	Dai, Jun
Are customers offered appropriate discounts? : an exploratory study of using clustering techniques in internal auditing	2019	Dai, Jun
Analyzing payment data and its process : a bank case	2019	Chandia, Karina
Development of an anomaly detection model for a bank's transitory account system	2019	Kim, Yongbum
An application of exploratory data analysis in auditing : credit card retention case	2019	Liu, Qi
A multi-faceted outlier detection scheme for use in clustering	2019	Byrnes, Paul
Automated clustering : from concept to reality	2019	Byrnes, Paul
Multi-dimensional approaches to anomaly detection : a study of insurance claims	2019	Moharram, Basma
Development of an anomaly detection model for an insurance company's wire transfer system	2019	Kim, Yongbum
A legal risk prediction model for credit cards	2019	Huang, Feiqi
Predicting credit card delinquency : an application of the Decision Tree technique	2019	Sun, Ting
Cluster analysis for anomaly detection in accounting	2019	Thiprungsri, Sutapat