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Data-driven decision tree learning algorithm based on rough set theory

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3 Author(s)
Desheng Yin ; Inst. of Comput. Sci. & Technol., Chongqing Univ. of Posts & Telecommun., China ; Wang, Guoyin ; Yu Wu

Decision tree pre-pruning is an effective method to solve the over-fitting problem in decision tree learning process. However, it is difficult to estimate the exact time to stop the growing process of a decision tree, which limits the developments and applications of this method. In this paper, the growing of a decision tree is controlled by the uncertainty of a decision table, and a data-driven learning algorithm for decision tree pre-pruning is developed.

Published in:

Active Media Technology, 2005. (AMT 2005). Proceedings of the 2005 International Conference on

Date of Conference:

19-21 May 2005