Analytics for Insurance Fraud Detection: An Empirical Study

American Journal of Mobile Systems, Applications and Services

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Bibliographic Details
Main Authors: Carol Anne Hargreaves, Singaria, Vidyut
Other Authors: STATISTICS & APPLIED PROBABILITY
Format: Article
Language:English
Published: American Institute of Science 2020
Online Access:https://scholarbank.nus.edu.sg/handle/10635/172952
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-1729522024-04-03T05:48:30Z Analytics for Insurance Fraud Detection: An Empirical Study Carol Anne Hargreaves Singaria, Vidyut STATISTICS & APPLIED PROBABILITY American Journal of Mobile Systems, Applications and Services 1 3 227-232 2020-08-17T12:34:57Z 2020-08-17T12:34:57Z 2016-01-20 2020-07-28T06:30:17Z Article Carol Anne Hargreaves, Singaria, Vidyut (2016-01-20). Analytics for Insurance Fraud Detection: An Empirical Study. American Journal of Mobile Systems, Applications and Services 1 (3) : 227-232. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/172952 en American Institute of Science Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
description American Journal of Mobile Systems, Applications and Services
author2 STATISTICS & APPLIED PROBABILITY
author_facet STATISTICS & APPLIED PROBABILITY
Carol Anne Hargreaves
Singaria, Vidyut
format Article
author Carol Anne Hargreaves
Singaria, Vidyut
spellingShingle Carol Anne Hargreaves
Singaria, Vidyut
Analytics for Insurance Fraud Detection: An Empirical Study
author_sort Carol Anne Hargreaves
title Analytics for Insurance Fraud Detection: An Empirical Study
title_short Analytics for Insurance Fraud Detection: An Empirical Study
title_full Analytics for Insurance Fraud Detection: An Empirical Study
title_fullStr Analytics for Insurance Fraud Detection: An Empirical Study
title_full_unstemmed Analytics for Insurance Fraud Detection: An Empirical Study
title_sort analytics for insurance fraud detection: an empirical study
publisher American Institute of Science
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/172952
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