Combining multiple models with meta decision trees

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1910, Issue , 2000, Pages 54-64

  Todorovski, Ljupčo ^a   Džeroski, Sašo ^a  

^a JO EF STEFAN INSTITUTE   (Slovenia)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DECISION TREES; FORESTRY; TREES (MATHEMATICS);

C4.5 ALGORITHM; COMBINING MODEL; EXPERIMENTAL EVALUATION; NAIVE-BAYES ALGORITHM; NEAREST NEIGHBOR ALGORITHM; RULE LEARNING ALGORITHMS;

LEARNING ALGORITHMS;

EID: 23044523478     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45372-5_6     Document Type: Conference Paper

References (15)

1. Brazdil, P. B. and Henery, R. J. (1994) Analysis of Results. In Michie, D., Spiegelhalter, D. J., and Taylor, C. C., editors: Machine learning, neural and statistical classification. Ellis Horwood.
2. Breiman, L. (1996) Bagging Predictors. Machine Learning 24(2): 123-140.
3. Chan, P. K. and Stolfo, S. J. (1997) On the Accuracy of Meta-learning for Scalable Data Mining. Journal of Intelligent Information Systems 8(1): 5-28.
4. Clark, P. and Boswell, R. (1991) Rule induction with CN2: Some recent improvements. In Proceedings of the Fifth European Working Session on Learning: 151-163. Springer-Werlag.
5. Dietterich, T. G. (1997) Machine-Learning Research: Four Current Directions. AI Magazine 18(4): 97-136.
6. Freund, Y. and Schapire, R. E. (1996) Experiments with a New Boosting Algorithm. In Proceedings of the Thirteenth International Conference on Machine Learning. Morgan Kaufmann.
7. Gama, J. (1998) Combining Classifiers by Constructive Induction. In Proceedings of the Ninth European Conference on Machine Learning.
8. Gama, J. (1999) Discriminant trees. In Proceedings of the Sixteenth International Conference on Machine Learning: 134-142. Morgan Kaufmann.
9. Gama, J. (2000) A Linear-Bayes Classifier. Technical Report. Artificial Intelligence and Computer Science Laboratory, University of Porto.
10. Merz, C. J. (1999) Using Correspondence Analysis to Combine Classifiers. Machine Learning 36(1/2): 33-58. Kluwer Academic Publishers.
11. Murphy, P. M. and Aha, D. W. (1994) UCI repository of machine learning databases [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, Department of Information and Computer Science.
12. Quinlan, J. R. (1993) C4.5: Programs for Machine Learning. Morgan Kaufmann.
13. Todorovski, L. and Dzeroski, S. (1999) Experiments in Meta-Level Learning with ILP. In Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery: 98-106. Springer-Werlag.
14. Wettschereck, D. (1994) A study of distance-based machine learning algorithms. PhD Thesis, Department of Computer Science, Oregon State University, Corvallis.
15. Wolpert, D. (1992) Stacked Generalization. Neural Networks 5(2): 241-260.