Families of splitting criteria for classification trees

Statistics and Computing

Volumn 9, Issue 4, 1999, Pages 309-315

  Shih, Y S ^a  

^a NATIONAL CHUNG CHENG UNIVERSITY   (Taiwan)

Author keywords

Classification tree; Divergence measure; Exclusive preference; Splitting criteria

Indexed keywords

EID: 0042942219     PISSN: 09603174     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1008920224518     Document Type: Article

References (16)

1. Aeberhard, S., Coomans, D. and de Vel, O. (1993) Improvements in the preformance of regularized discriminant analysis. Journal of Chemometrics, 7, 99-115.
2. Breiman, L. (1996) Some properties of splitting criteria. Machine Learning, 24, 41-47.
3. Breiman, L., Friedman, J. H., Olshen, R. A. and Stone, C. J. (1984) Classification and Regression Trees. Wadsworth, Belmont, California.
4. Buntine, W. and Niblett, T. (1992) A further comparison of splitting rules for decision tree induction. Machine Learning, 8, 75-85.
5. Ciampi, A., Chang, C.-H., Hogg, S. and McKinney, S. (1987) Recursive partitioning: a versatile method for exploratory data analysis in biostatistics. In: M. I. B. and G. J. Umphrey (eds) Biostatistics, pp. 23-50, D. Reidel, New York.
6. Clark, L. A. and Pregibon, D. (1992) Tree-based models. In: J. M. Chambers and T. J. Hastie (eds) Statistical Models in S, Wadsworth & Brooks/Cole, Pacific Grove, CA.
7. Fayyad, U. M. and Irani, R. B. (1992) The attribute selection problem in decision tree generation, 10th National Conference on AI, AAAI-92, pp. 104-110, MIT Press.
8. Hand, D. J. (1997) Construction and Assessment of Classification Rules, John Wiley, Chichester, England.
9. Kass, G. V. (1980) An exploratory technique for investigation large quantities of categorical data. Applied Statistics, 29, 119-127.
10. Loh, W.-Y. and Shih, Y.-S. (1997) Split selection methods for classification trees. Statistica Sinica, 7, 815-840.
11. Loh, W.-Y. and Vanichsetakul, N. (1988) Tree-structured classification via generalized discriminant analysis (with discussion). Journal of the American Statistical Association, 83, 715-728.
12. Lubischew, A. A. (1962) On the use of discriminant functions in taxonomy. Biometrics, 18, 455-477.
13. Merz, C. J. and Murphy, P. M. (1996) UCI Repository of Machine Learning Databases, Department of Information and Computer Science, University of California, Irvine, CA.
14. Quinlan, J. R. (1993) C4.5: Programs for Machine Learning, Morgan Kaufmann, San Mateo, CA.
15. Read, T. R. C. and Cressie, N. A. C. (1988) Goodness-of-Fit Statistics for Discrete Multivariate Data, Springer-Verlag, New York.
16. Taylor, P. C. and Silverman, B. W. (1993) Block diagrams and splitting criteria for classification trees. Statistics and Computing, 3, 147-161.