Learning through changes: An empirical study of dynamic behaviors of probability estimation trees

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2005, Pages 817-820

  Zhang, Kun ^a   Xu, Zujia ^b   Peng, Jing ^a   Buckles, Bill ^a  

^a TULANE UNIVERSITY   (United States)

^b DILLARD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATA STRUCTURES; PROBABILITY;

BINARY CLASSIFICATION PROBLEMS; CONFUSION FACTOR TREES(CFT); DATASETS;

TREES (MATHEMATICS);

EID: 33749570764     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2005.88     Document Type: Conference Paper

References (13)

1. J.R.Quinlan. C4.5: programs for empirical learning. Morgan Kaufmann, 1993
2. F.Provost and P.Domingos."Tree induction for probability based rankings".Machine Learning, 52(3), 2003, pp. 199-215
3. W.Fan, H.X.Wang, P.S.Yu and S.Ma,"Is random model better? On its accuracy and efficiency",ICDM2003, pp.51-58
4. W.Fan, "On the optimality of probability estimation by random decision trees", AAAI 2004, pp.336-341
5. F. Liu, K. M. Ting, W. Fan, "Maximizing tree diversity by building complete-random decision trees. PAKDD2005
6. G.Weiss and F.Provost, "Learning when training data are costly: the effect of class distribution on tree induction", JAIR, 19, 2003, pp.315-354
7. C.Ling and R.Yan, "Decision Tree with better ranking", ICML,2003
8. J.Bradford,C.Kunz,R.Kohavi,C.Brunk,C.Brodley, Pruning decision trees with misclassification costs", ECML98
9. C.Blake and C.Merz, "UCI repository of machine learning database", UCI, 1998
10. G. P.Shapiro and B. Masand. "Estimating campaign benefits and modeling lift". KDD1999.
11. T.Fawcett."ROC graphs: notes and practical considerations for data mining researchers". HPL-2003-4.
12. M.DeGroot and S.Fienberg, "Assessing probability assessors: calibration and refinement", Statistica Decision Theory and Related Topics III, Vol 1, 1982, pp. 291-314
13. A.H.Murphy, "A new vector partition of the probability score", J. Appl. Met.,12,1973, pp.534-537