Improved decision tree of C 4.5

Qinghua Daxue Xuebao/Journal of Tsinghua University

Volumn 46, Issue SUPPL., 2006, Pages 996-1001

  Liu, Peng ^a   Yao, Zheng ^a   Yin, Junjie ^a  

^a SHANGHAI UNIVERSITY OF FINANCE AND ECONOMICS   (China)

Author keywords

C 4.5; Classifier; Data mining; Decision tree; R C 4.5

Indexed keywords

CLASSIFIERS; DATA MINING; DATA PROCESSING; MATHEMATICAL MODELS;

DATA PREPROCESSING; DECISION TREE;

DECISION MAKING;

EID: 33845867450     PISSN: 10000054     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (11)

1. Dunham M. Data Mining: Introductory and Advanced Topics[M]. Upper Saddle River, NJ: Pearson Education, 2003.
2. Han J, Kamber M. Data Mining: Concepts and Techniques[M]. San Francisco: Morgan Kaufmann Publishers, 2001.
3. Quinlan J R. C 4.5: Programs for Machine Learning[M]. San Mateo, CA: Morgan Kaufmann, 1993.
4. Lim T S, Loh W Y, Shih Y S. A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms[J]. Machine Learning, 2000, 40: 203-229.
5. Quinlan J R. Induction of decision trees[J]. Machine Learning. 1986, 1(1): 81-106.
6. Ruggieri S. Efficient C 4.5[J]. IEEE Transactions On Knowledge And Data Engineering, 2002. 14(2): 438-444.
7. Luger F G. Artificial Intelligence: Structures and Strategies for Complex Problem Solving[M]. 4th Ed. Harlow, England: Addison Wesley, 2001.
8. SHI Zhongzhi. Knowledge Discovery[M]. Beijing: Tsinghua University Press, 2002. (in Chinese)
9. Mitchell T M. Machine Learning[M]. New York: McGraw-Hill, 1997.
10. Breslow L, Aha D W. Simplifying decision trees: A survey[J]. Knowledge Engineering Review, 1997, 12(1): 1-40.
11. LIU Peng, YAO Zheng, LEI Lei, et al. R-C 4.5 and its sensitivity analysis on missing data[A]. Proceedings of JICC2005[C]. Chongqing, 2005. 10-12.