Classification and Regression Trees

Encyclopedia of Ecology, Five-Volume Set

Volumn 1-5, Issue , 2008, Pages 582-588

  Moisen, G G ^a  

^a USDA FOREST SERVICE   (United States)

Author keywords

Committee models; Cross validation; Decision trees; Ensemble models; Nonparametric models; Pruning; Splitting criteria

Indexed keywords

EID: 85042421969     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-008045405-4.00149-X     Document Type: Chapter

References (13)

1. L. Breiman (2001) Random forests. Machine Learning 45 5-32.
2. L. Breiman, R.A. Friedman, R.A. Olshen and C.G. Stone (1984) Classification and Regression Trees Pacific Grove, CA: Wadsworth
3. L.A. Clark and D. Pregibon (1992) Tree-based models. J.M. Chambers, T.J. Hastie (Eds) Statistical Models in S Pacific Grove, CA: Wadsworth and Brooks 377-419.
4. G. De'ath and K.E. Fabricius (2000) Classification and regression trees: A powerful yet simple technique for ecological data analysis. Ecology 81 3178-3192.
5. B.S. Everitt and T. Hothorn (2006) A Handbook of Statistical Analyses using R Boca Raton, FL: Chapman and Hall/CRC
6. J.H. Friedman (2002) Stochastic gradient boosting. Computational Statistics and Data Analysis 38(4), 367-378.
7. T. Hastie, R. Tibshirani and J. Friedman (2001) The Elements of Statistical Learning New York: Springer
8. S.K. Murthy (1998) Automatic construction of decision trees from data: A multi-disciplinary survey. Data Mining and Knowledge Discovery 2 345-389.
9. J.R. Quinlan (1993) C4.5: Programs for Machine Learning San Mateo, CA: Morgan Kaufmann
10. B.D. Ripley (1996) Pattern Recognition and Neural Networks Cambridge: Cambridge University Press
11. D. Steinberg and P. Colla (1995) CART: Tree-Structured Nonparametric Data Analysis San Diego, CA: Salford Systems
12. M.P. Vayssieres, R.P. Plant and B.H. Allen-Diaz (2000) Classification trees: An alternative non-parametric approach for predicting species distributions. Journal of Vegetation Science 11 679-694.
13. W.N. Venables and B.D. Ripley (1999) Modern Applied Statistics with S-Plus New York: Springer