메뉴 건너뛰기




Volumn 39, Issue 3, 2012, Pages 3659-3667

Gradient boosting trees for auto insurance loss cost modeling and prediction

Author keywords

Gradient boosting trees; Insurance pricing; Statistical learning

Indexed keywords

ACCURATE PREDICTION; BERNOULLI; COMPLEX INTERACTION; DATA PREPROCESSING; GAUSSIANS; GENERALIZED LINEAR MODEL; GRADIENT BOOSTING; INTEGRAL PART; ITERATIVE ALGORITHM; LOSS COSTS; MISSING VALUES; PARAMETERIZED; PREDICTION ERRORS; PREDICTIVE ACCURACY; REGRESSION PROBLEM; RESPONSE DISTRIBUTION; STATISTICAL LEARNING; STATISTICAL LEARNING METHODS;

EID: 80255138189     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.09.058     Document Type: Article
Times cited : (195)

References (23)
  • 3
    • 0000245743 scopus 로고    scopus 로고
    • Statistical modeling: The two cultures
    • L. Brieman Statistical modeling: The two cultures Statistical Science 16 2001 199 231
    • (2001) Statistical Science , vol.16 , pp. 199-231
    • Brieman, L.1
  • 4
    • 1542543055 scopus 로고
    • Statistical motor rating: Making effective use of your data
    • M. Brockman, and T. Wright Statistical motor rating: Making effective use of your data Journal of the Institute of Actuaries 119 1992 457 543
    • (1992) Journal of the Institute of Actuaries , vol.119 , pp. 457-543
    • Brockman, M.1    Wright, T.2
  • 5
    • 85083464467 scopus 로고    scopus 로고
    • Toward scalable learning with non-uniform class and cost distributions: A case study in credit card fraud detection
    • Chan, P.; & Stolfo, S. (1998). Toward scalable learning with non-uniform class and cost distributions: A case study in credit card fraud detection. Proceedings of the International Conference on Knowledge Discovery and Data Mining, 4 (pp. 164-168).
    • (1998) Proceedings of the International Conference on Knowledge Discovery and Data Mining , vol.4 , pp. 164-168
    • Chan, P.1    Stolfo, S.2
  • 7
    • 1442356040 scopus 로고    scopus 로고
    • A multiple resampling method for learning from imbalanced data sets
    • T. Estabrooks, and T. Japkowicz A multiple resampling method for learning from imbalanced data sets Computational Intelligence 20 2004 315 354
    • (2004) Computational Intelligence , vol.20 , pp. 315-354
    • Estabrooks, T.1    Japkowicz, T.2
  • 10
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting
    • J. Friedman, T. Hastie, and R. Tibshirani Additive logistic regression: A statistical view of boosting The Annals of Statistics 28 2000 337 407 (Pubitemid 33227445)
    • (2000) Annals of Statistics , vol.28 , Issue.2 , pp. 337-407
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 11
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • J. Friedman Greedy function approximation: A gradient boosting machine The Annals of Statistics 29 2001 1189 1232 (Pubitemid 33405972)
    • (2001) Annals of Statistics , vol.29 , Issue.5 , pp. 1189-1232
    • Friedman, J.H.1
  • 12
    • 0037186544 scopus 로고    scopus 로고
    • Stochastic gradient boosting
    • DOI 10.1016/S0167-9473(01)00065-2, PII S0167947301000652
    • J. Friedman Stochastic gradient boosting Computational Statistics & Data Analysis 38 2002 367 378 (Pubitemid 34197167)
    • (2002) Computational Statistics and Data Analysis , vol.38 , Issue.4 , pp. 367-378
    • Friedman, J.H.1
  • 16
    • 0035618101 scopus 로고    scopus 로고
    • Explaining rare events in international relations
    • DOI 10.1162/00208180152507597
    • G. King, and L. Zeng Explaining rare events in international relations International Organization 55 2001 693 715 (Pubitemid 33584933)
    • (2001) International Organization , vol.55 , Issue.3 , pp. 693-715
    • King, G.1    Zeng, L.2
  • 17
    • 80255131992 scopus 로고    scopus 로고
    • Enhancing generalised linear models with data mining
    • Discussion Paper Program
    • Kolyshkina, I.; Wong, S.; & Lim, S. (2004). Enhancing generalised linear models with data mining. Casualty Actuarial Society 2004, Discussion Paper Program.
    • (2004) Casualty Actuarial Society 2004
    • Kolyshkina, I.1    Wong, S.2    Lim, S.3
  • 18
    • 33744526493 scopus 로고    scopus 로고
    • Bagging and boosting classification trees to predict churn
    • DOI 10.1509/jmkr.43.2.276
    • A. Lemmens, and C. Croux Bagging and boosting classification trees to predict churn Journal of Marketing Research 43 2006 276 286 (Pubitemid 43813059)
    • (2006) Journal of Marketing Research , vol.43 , Issue.2 , pp. 276-286
    • Lemmens, A.1    Croux, C.2
  • 21
    • 0025448521 scopus 로고
    • The strength of weak learnability
    • R. Schapire The strength of weak learnability Machine Learning 5 1990 197 227
    • (1990) Machine Learning , vol.5 , pp. 197-227
    • Schapire, R.1
  • 22
    • 34547673383 scopus 로고    scopus 로고
    • Cost-sensitive boosting for classification of imbalanced data
    • DOI 10.1016/j.patcog.2007.04.009, PII S0031320307001835
    • Y. Sun, M. Kamel, A. Wong, and Y. Wang Cost-sensitive boosting for classification of imbalanced data Pattern Recognition 40 2007 3358 3378 (Pubitemid 47223287)
    • (2007) Pattern Recognition , vol.40 , Issue.12 , pp. 3358-3378
    • Sun, Y.1    Kamel, M.S.2    Wong, A.K.C.3    Wang, Y.4
  • 23
    • 1442275185 scopus 로고    scopus 로고
    • Learning when training data are costly: The effect of class distribution on tree induction
    • G. Weiss, and F. Provost Learning when training data are costly: The effect of class distribution on tree induction Journal of Artificial Intelligence Research 19 2003 315 354 (Pubitemid 41525924)
    • (2003) Journal of Artificial Intelligence Research , vol.19 , pp. 315-354
    • Weiss, G.M.1    Provost, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.