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Internal fraud risk reduction: results of a data mining case study

Jans, Mieke; Lybaert, Nadine; Van Hoof, Koen - In: International journal of accounting information systems 11 (2010) 1, pp. 17-41

Persistent link: https://www.econbiz.de/10003963110

Detecting hospital fraud and claim abuse through diabetic outpatient services

Liou, Fen-may; Tang, Ying-chan; Chen, Jean-yi - In: Health care management science 11 (2008) 4, pp. 353-358

Persistent link: https://www.econbiz.de/10003778377

Identifying disgruntled employee systems fraud risk through text mining : a simple solution for a multi-billion dollar problem

Holton, Carolyn - In: Decision support systems : DSS ; the international journal 46 (2008/09) 4, pp. 853-864

Persistent link: https://www.econbiz.de/10003834839

Moderne Betrugsfrüherkennung und -bekämpfung : multidimensionale Analyseverfahren und Data-Mining-Techniken

Lyutskanova, Tsvetana; Valchanov, Vladislav; Helm, Carsten - In: Risiko-Manager (2009) 18, pp. 1,8-15

Persistent link: https://www.econbiz.de/10003875540

Predictive fraud analytics : B-tests

Afanasiev, Sergey; Smirnova, Anastasiya - In: The journal of operational risk 13 (2018) 4, pp. 17-46

Persistent link: https://www.econbiz.de/10011976053

What's your real age? : an empirical analysis of identity fraud in online game

Ahn, Daehwan; Jeon, Seongmin; Yoo, Byungjoon - In: Information systems and e-business management : ISeB 16 (2018) 4, pp. 775-789

Persistent link: https://www.econbiz.de/10011956205

Identifying and profiling key sellers in cyber carding community : AZSecure text mining system

Li, Weifeng; Chen, Hsinchun; Nunamaker, Jay F. - In: Journal of management information systems : JMIS 33 (2016) 4, pp. 1059-1086

Persistent link: https://www.econbiz.de/10011664638

Credit card fraud : behind the scenes

DeFilippi, Dan; Michael, Katina - In: Online banking security measures and data protection, (pp. 263-282). 2017

Persistent link: https://www.econbiz.de/10011610455

Fraud detection for financial statements of business groups

Chen, Yuh-Jen; Liou, Wan-Ching; Chen, Yuh-Min; Wu, Jyun-Han - In: International journal of accounting information systems 32 (2019), pp. 1-23

Persistent link: https://www.econbiz.de/10012038433

Credit Card Fraud Detection Using Naive Bayesian and C4.5 Decision Tree Classifiers

Husejinovic, Admel - 2020

regular and fraud transactions. Performance of algorithms is evaluated through: precision, recall, PRC area rates. Performance … tree as base learner with rate of 0,825. For prediction of fraud transactions with success of 92,74% correctly predicted …

Persistent link: https://www.econbiz.de/10012843785

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