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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 4 | Month- April 2024
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Paper Title
INCORPORATING MACHINE LEARNING APPROACHES BY A COMPARATIVE INVESTIGATION OF FRAUD PREDICTION ON INSURANCE PROVIDERS
Authors
T Ramyasree, V.Padmakar, P.Shiva Kumar Reddy, Sheeja Philippose
Keywords
India, attitude, demography, insurance services, marketing activities.
Abstract
The current study makes an effort to explain how Indian customers feel about insurance services. Due to the availability of broad knowledge about insurance, consumers are now impacted by numerous insurance kinds, including health insurance, vehicle insurance, property insurance, and travel insurance. People are increasingly choosing to invest in these types of insurance, which aids con artists in defrauding victims. Insurance fraud is banned, whether it comes from the customer or the insurance provider. Client-side insurance fraud might take the shape of postponed policies, overstated claims, and other issues. However, insurance vendor fraud is seen in the form of policies from fictitious firms and inability to pay premiums, and as a result. In this paper, we perform a comparative analysis on various classification algorithms
IJCRT's Publication Details
Unique Identification Number - IJCRTV020037
Paper ID - 231075
Page Number(s) - 212-216
Pubished in - Volume 6 | Issue 4 | November 2018
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
T Ramyasree, V.Padmakar, P.Shiva Kumar Reddy, Sheeja Philippose, "INCORPORATING MACHINE LEARNING APPROACHES BY A COMPARATIVE INVESTIGATION OF FRAUD PREDICTION ON INSURANCE PROVIDERS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 4, pp.212-216, November 2018, Available at :http://www.ijcrt.org/papers/IJCRTV020037.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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