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Volumn 20, Issue 10, 2005, Pages 985-999

Filter- versus wrapper-based feature selection for credit scoring

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; SET THEORY;

EID: 27844539754     PISSN: 08848173     EISSN: None     Source Type: Journal    
DOI: 10.1002/int.20103     Document Type: Article
Times cited : (45)

References (16)
  • 1
    • 0037534150 scopus 로고    scopus 로고
    • Using neural network rule extraction and decision tables for credit-risk evaluation
    • Baesens B, Setiono R, Mues C, Vanthienen J. Using neural network rule extraction and decision tables for credit-risk evaluation. Manag Sci 2003;49:312-329.
    • (2003) Manag Sci , vol.49 , pp. 312-329
    • Baesens, B.1    Setiono, R.2    Mues, C.3    Vanthienen, J.4
  • 3
  • 4
    • 84863050617 scopus 로고    scopus 로고
    • Construction of a k-nearest neighbour credit-scoring system
    • Henley WE, Hand DJ. Construction of a k-nearest neighbour credit-scoring system. IMA J Math Appl Bus Ind 1997:8:305-321.
    • (1997) IMA J Math Appl Bus Ind , vol.8 , pp. 305-321
    • Henley, W.E.1    Hand, D.J.2
  • 6
    • 0030291564 scopus 로고    scopus 로고
    • A comparison of neural networks and linear scoring models in the credit union environment
    • Desai VS, Crook JN, Overstreet GA Jr. A comparison of neural networks and linear scoring models in the credit union environment. Eur J Oper Res 1996;95:24-37.
    • (1996) Eur J Oper Res , vol.95 , pp. 24-37
    • Desai, V.S.1    Crook, J.N.2    Overstreet Jr., G.A.3
  • 7
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • Kohavi R, John GH. Wrappers for feature subset selection. Artif Intell 1997;97:273-324.
    • (1997) Artif Intell , vol.97 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 9
    • 34147149841 scopus 로고    scopus 로고
    • Oscillating search algorithms for feature selection
    • Los Alamitos, CA: IEEE Computer Society
    • Somol P, Pudil P. Oscillating search algorithms for feature selection. In: Proc 15th Int Conf on Pattern Recognition. Los Alamitos, CA: IEEE Computer Society; 2000. pp 406-409.
    • (2000) Proc 15th Int Conf on Pattern Recognition , pp. 406-409
    • Somol, P.1    Pudil, P.2
  • 11
    • 85013515810 scopus 로고
    • Comparative study of techniques for large-scale feature selection
    • Gelsema ES, Kanal LN, editors. Amsterdam: Elsevier Science B.V.
    • Ferri FJ, Pudil P, Hatef M, Kittler J. Comparative study of techniques for large-scale feature selection. In: Gelsema ES, Kanal LN, editors. Pattern recognition in practice IV. Amsterdam: Elsevier Science B.V.; 1994. pp 403-413.
    • (1994) Pattern Recognition in Practice IV , pp. 403-413
    • Ferri, F.J.1    Pudil, P.2    Hatef, M.3    Kittler, J.4
  • 12
    • 0031078007 scopus 로고    scopus 로고
    • Feature selection: Evaluation, application and small sample performance
    • Jain AK. Zongker D. Feature selection: Evaluation, application and small sample performance. IEEE Trans Pattern Anal Mach Intell 1997;19:153-158.
    • (1997) IEEE Trans Pattern Anal Mach Intell , vol.19 , pp. 153-158
    • Jain, A.K.1    Zongker, D.2
  • 15
    • 0001466281 scopus 로고    scopus 로고
    • A survey of credit and behavioural scoring: Forecasting financial risk of lending to customers
    • Thomas LC. A survey of credit and behavioural scoring: Forecasting financial risk of lending to customers. Int J Forecast 2000;16:149-172.
    • (2000) Int J Forecast , vol.16 , pp. 149-172
    • Thomas, L.C.1
  • 16
    • 0001050283 scopus 로고
    • On dimensionality and sample size in statistical pattern classification
    • Kanal L. Chandrasekaran B. On dimensionality and sample size in statistical pattern classification. Pattern Recogn 1971,3:225-234.
    • (1971) Pattern Recogn , vol.3 , pp. 225-234
    • Kanal, L.1    Chandrasekaran, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.