Multivariate data analysis and modeling through classification and regression trees

Computational Statistics and Data Analysis

Volumn 32, Issue 3-4, 2000, Pages 285-301

  Siciliano, Roberta ^a   Mola, Francesco ^b  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^b UNIVERSITY OF CAGLIARI   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; MATHEMATICAL MODELS; TREES (MATHEMATICS);

MULTIVARIATE DATA ANALYSIS; REGRESSION TREES;

REGRESSION ANALYSIS;

EID: 0038998791     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-9473(99)00082-1     Document Type: Article

References (28)

1. Agresti, A., 1990. Categorical Data Analysis. Wiley, New York.
2. Aluja Banet, T., Nafria, E., 1996. Automatic segmentation by decision tree. In Prat A.: COMPSTAT. Proceedings in Computational Statistics. Physica Verlag, Heidelberg, D., pp. 181-186.
3. Breiman L. Arcing classifiers. Ann. Statist. 26(3):1998;801-849.
4. Breiman, L., Friedman, J.H., Olshen, R.A., Stone, C.J., 1984. Classification and Regression Trees. Wadsworth, Belmont, CA.
5. Buntine W.L. Learning classification trees. Statist. Comput. 2:1992;63-73.
6. Cappelli, C., Mola, F., Siciliano, R., 1998. An alternating pruning method based on the impurity complexity measure. In: Payne, R., Green, P. (Eds.), COMPSTAT '98. Proceedings in Computational Statistics, Physica Verlag, Heidelberg, pp. 221-226.
7. Ciampi, A., 1994. Classification and discrimination: the RECPAM approach. In: Dutter, R., Grossmann, W. (Eds.), COMPSTAT'94 Physica Verlag, Heidelberg, D., pp. 129-147.
8. Gillo M.W., Shelley M.W. Predictive modeling of multivariable and multivariate data. J. Amer. Statist. Assoc. 69(347):1974;646-653.
9. Hand, D.J., 1997. Construction and Assessment of Classification Rules. Wiley, Chichester, UK.
10. Hastie, T., Pregibon, D., 1990. Shrinking trees. Technical report, AT&T Bell Laboratories, Murray Hill, NJ.
11. Light R.J., Margolin B.H. An analysis of variance for categorical data. J. Amer. Statist. Assoc. 66:1971;534-544.
12. Loh W., Vanichsetakul N. Tree-structured classification via generalized discriminant analysis. J. Amer. Statist. Assoc. 83:1988;715-728.
13. Klaschka, J., Mola, F., 1998. Minimization for computational cost in tree-based methods by a proper ordering of splits. In: Payne, R., Green, P. (Eds.), COMPSTAT'98. Proceedings in Computational Statistics, Physica Verlag, Heidelbreg, pp. 359-365.
14. Klaschka, J., Siciliano, R., Antoch, J., 1998. Computational enhancements in tree-growing methods, In: Rizzi, A., Vichi, M., Bock, H.H. (Eds.), Advances in Data Science and Classification, Springer, Berlin, pp. 295-302.
15. Margolin B.H., Light R.J. An analysis of variance for categorical data, II: small sample comparisons with chi square and other competitors. J. Amer. Statist. Assoc. 69:1974;755-764.
16. Mola, F., 1998. Classification and regression trees software and new developments. In: Rizzi, A., Vichi, M., Bock, H.H. (Eds.), Advances in Data Science and Classification, Springer, Berlin, pp. 311-318.
17. Mola, F., Siciliano, R., 1992. A two-stage predictive splitting algorithm in binary segmentation. In: Dodge, Y., Whittaker, J. (Eds.), Computational Statistics, vol. 1. Physica Verlag, Heidelberg, D, pp. 179-184.
18. Mola, F., Siciliano, R., 1994. Alternative strategies and CATANOVA testing in two-stage binary segmentation. In: Diday, E. et al. (Eds.), New Approaches in Classification and Data Analysis. Springer, Berlin, D, pp. 316-323.
19. Mola F., Siciliano R. A fast splitting procedure for classification trees. Statist. Comput. 7:1997;208-216.
20. Mola, F., Klaschka, J., Siciliano, R., 1996. Logistic classification trees, in Prat A.: COMPSTAT. Proceedings in Computational Statistics. Physica Verlag, Heidelberg, D, pp. 373-378.
21. Morgan, J.N., Sonquist, J.A., 1963. Problem in the analysis of survey data and, a proposal. J. Amer. Statist. Assoc. 58.
22. Oliver, J.J., Hand, D.J., 1995. On pruning and averaging decision trees. In Machine Learning: Proceedings of the 12th International Workshop, pp. 430-437.
23. Quinlan J.R. Induction of decision trees. Machine Learning. 1:1986;81-106.
24. Siciliano, R., 1998. Exploratory versus decision trees. In: Payne, R., Green, P. (Eds.), COMPSTAT '98. Proceedings in Computational Statistics, Physica Verlag, Heidelberg, pp. 113-124.
25. Siciliano, R., Mola, F., 1996. A fast regression tree procedure. In: Forcina, A. et al. (Eds.), Statistical Modeling. Proceedings of the 11th International Workshop on Statistical Modeling, Orvieto, Italy, July 15-19, Graphos, Perugia, I, pp. 332-340.
26. Siciliano, R., Mola, F., 1998a. Ternary classification trees: a factorial approach. In: Blasius, J., Greenacre, M. (Eds.), Visualization of Categorical Data, Academic Press, New York, pp. 311-324.
27. Siciliano, R., Mola, F., 1998b. On the Behaviour of Splitting Criteria for Classification Trees. In: Hayashi, C. et al. (Eds.), Data Science, Classification, and Related Methods. Springer, Tokyo, pp. 191-198.
28. Taylor P.C., Silverman B.W. Block diagrams and splitting criteria for classification trees. Statist. Comput. 3:1993;147-161.