UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1908D44


Registration ID:
308421

Page Number

1138-1144

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Title

Integrating actuarial models with neural networks for building a fraud detection model for automobile insurancex

Abstract

Fraud poses a major risk in any organizations due to its financial implications. To mitigate this, most companies have fraud detection models in place. This work, aim to study the use of Combined Actuarial Neural Networks in building a fraud detection model. In this, the classical generalized linear model (GLM) is embedded in a neural network model. This approach captures the data patterns which was not captured by using a classical generalized model. The dataset used for this study is publically available dataset “carclaims.txt’. It was observed that the combination of a classical generalized linear model with neural network models helped in increasing the sensitivity of the model. The highest sensitivity of 0.88 was observed when GLM was combined with a neural network containing embedding layers. Also, it was observed that the performance of all the models significantly improved once the oversampling of the dataset was done.

Key Words

Automobile insurance, Data imbalance, Fraud detection, Machine learning, Neural networks, Actuarial models, Classification models

Cite This Article

"Integrating actuarial models with neural networks for building a fraud detection model for automobile insurancex", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.1138-1144, June 2019, Available :http://www.jetir.org/papers/JETIR1908D44.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Integrating actuarial models with neural networks for building a fraud detection model for automobile insurancex", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp1138-1144, June 2019, Available at : http://www.jetir.org/papers/JETIR1908D44.pdf

Publication Details

Published Paper ID: JETIR1908D44
Registration ID: 308421
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 1138-1144
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162


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