论文信息 - Support Vector Machines for Classifying Policyholders Satisfactorily in Automobile Insurance - 字舞流文

Support Vector Machines for Classifying Policyholders Satisfactorily in Automobile Insurance

Zuherman Rustam | Ni Putu Ayu Audia Ariantari | Zuherman Rustam | N. P. Ariantari

[1] Sancho Salcedo-Sanz,et al. Feature selection methods involving support vector machines for prediction of insolvency in non-life insurance companies , 2004, Intell. Syst. Account. Finance Manag..

[2] J. Kacprzyk,et al. Probabilistic, fuzzy and rough concepts in social choice , 1996 .

[3] Bert Kramer,et al. N.E.W.S.: a model for the evaluation of non-life insurance companies , 1997 .

[4] Didier Richaudeau,et al. Automobile Insurance Contracts and Risk of Accident: An Empirical Test Using French Individual Data , 1999 .

[5] María Jesús Segovia-Vargas,et al. Seleção dos fatores de risco nas políticas de seguro de automóveis: uma maneira de aprimorar os lucros das companhias de seguro , 2015 .

[6] Constantin Zopounidis,et al. A survey of business failures with an emphasis on prediction methods and industrial applications , 1996 .

[7] Sancho Salcedo-Sanz,et al. Genetic programming for the prediction of insolvency in non-life insurance companies , 2005, Comput. Oper. Res..

[8] Sancho Salcedo Sanz,et al. Prediction of insolvency in non-life insurance companies using support vector machines, genetid algorithms and simulated annealing , 2004 .