Financial risk modelling in vehicle credit portfolio
Citations
23 citations
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References
766 citations
"Financial risk modelling in vehicle..." refers methods in this paper
...Cheng-Lung Huang et al. (2007) [4] used 307 instances of creditworthy applicants and 383 instances where credit is not creditworthy, 6 nominal, 8 numeric attributes, and 1 class attribute....
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...(2007) [4] used 307 instances of creditworthy applicants and 383 instances where credit is not creditworthy, 6 nominal, 8 numeric attributes, and 1 class attribute....
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458 citations
"Financial risk modelling in vehicle..." refers background in this paper
...The building phase leads to the building of the decision tree by training a sample set with attributes [21]....
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...(Olson, 1974) [21]...
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366 citations
"Financial risk modelling in vehicle..." refers methods in this paper
...(2006) [7] in their research work used a data set of credit card data comprising 8000 customers, used variables like good credit, bad credit, gender, age, marriage status, educational level, occupation, job position, annual income, residential status and credit limits on CART, MARS, discriminant analysis, logistics regression, neural networks model, support vector machine....
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...Tian-Shyug Lee et al. (2006) [7] in their research work used a data set of credit card data comprising 8000 customers, used variables like good credit, bad credit, gender, age, marriage status, educational level, occupation, job position, annual income, residential status and credit limits on CART,…...
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202 citations
"Financial risk modelling in vehicle..." refers methods in this paper
...Gang Wang et al. (2012) [10] in their research used the Australian and Germen credit datasets....
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...(2012) [10] in their research used the Australian and Germen credit datasets....
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190 citations
"Financial risk modelling in vehicle..." refers methods in this paper
...Nan-Chen Hsieh (2005) [13] in their research used a German credit data set of 1000 loan applicants with 700 samples of creditworthy applicants and 300 samples where credit should not be extended....
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