<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Nowadays, in the insurance industry the use of predictive modeling by means of regression and classification techniques is becoming increasingly important and popular. The success of an insurance company largely depends on the ability to perform such tasks as credibility estimation, determination of insurance premiums, estimation of probability of claim, detecting insurance fraud, managing insurance risk. This paper discusses regression and classification modeling for such types of prediction problems using the method of Adaptive Basis Function Construction</p></abstract>

Nowadays, in the insurance industry the use of predictive modeling by means of regression and classification techniques is becoming increasingly important and popular. The success of an insurance company largely depends on the ability to perform such tasks as credibility estimation, determination of insurance premiums, estimation of probability of claim, detecting insurance fraud, managing insurance risk. This paper discusses regression and classification modeling for such types of prediction problems using the method of Adaptive Basis Function Construction

Adaptive Regression and Classification Models with Applications in Insurance

Applied Computer Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Adaptive Regression and Classification Models with Applications in Insurance"}

Nowadays, in the insurance industry the use of predictive modeling by means of regression and classification techniques is becoming increasingly important and...

Adaptive Regression and Classification Models with Applications in Insurance

Published Online: Sep 02, 2014

Page range: 28 - 31

DOI: https://doi.org/10.2478/acss-2014-0004

Keywords
Classification, insurance, prediction, regression

© Riga Technical University

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Adaptive Regression and Classification Models with Applications in Insurance

Published Online: Sep 02, 2014

Page range: 28 - 31

DOI: https://doi.org/10.2478/acss-2014-0004

KeywordsClassification, insurance, prediction, regression

© Riga Technical University

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
Classification, insurance, prediction, regression