Auto insurance fraud detection using unsupervised spectral ranking for anomaly
نویسندگان
چکیده
منابع مشابه
Fast Unsupervised Automobile Insurance Fraud Detection Based on Spectral Ranking of Anomalies
Collecting insurance fraud samples is costly and if performed manually is very time consuming. This issue suggests usage of unsupervised models. One of the accurate methods in this regards is Spectral Ranking of Anomalies (SRA) that is shown to work better than other methods for auto insurance fraud detection specifically. However, this approach is not scalable to large samples and is not appro...
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ژورنال
عنوان ژورنال: The Journal of Finance and Data Science
سال: 2016
ISSN: 2405-9188
DOI: 10.1016/j.jfds.2016.03.001