Page 220 - Special Topic Session (STS) - Volume 4
P. 220
STS580 Vassilis P. P.
Continuous Auditing and Reporting Symposium (29WCARS), Brisbane,
Australia, 2013.
14. Tahir Ekina, Francesca Leva, Fabrizio Ruggeri, and Refik Soyer. Application
of bayesian methods in detection of healthcare fraud. chemical
engineering Transaction, 33, 2013.
15. MingJian Tang, B Sumudu U Mendis, D Wayne Murray, Yingsong Hu, and
Alison Sutinen. Unsupervised fraud detection in medicare australia. In
Proceedings of the Ninth Australasian Data Mining Conference-Volume
121, pages 103–110. Australian Computer Society, Inc., 2011.
16. Rasim Muzaffer Musal. Two models to investigate medicare fraud within
unsupervised databases. Expert Systems with Applications, 37(12):8628–
8633, 2010.
17. Chinho Lin, Chun-Mei Lin, Sheng-Tun Li, and Shu-Ching Kuo. Intelligent
physician segmentation and management based on kdd approach.
Expert Systems with Applications, 34(3):1963–1973, 2008.
18. Yin Shan, David Jeacocke, D Wayne Murray, and Alison Sutinen. Mining
medical specialist billing patterns for health service management. In
Proceedings of the 7th Australasian Data Mining Conference-Volume 87,
pages 105–110. Australian Computer Society, Inc., 2008.
19. John A. Major and Dan R. Riedinger. Efd: A hybrid knowledge/statistical-
based system for the detection of fraud. Journal of Risk and Insurance,
69(3):309–324.
20. Alex Rodriguez and Alessandro Laio. Clustering by fast search and find of
density peaks. Science, 344(6191):1492–1496, 2014
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