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

descriptionPublicationkeyboard_double_arrow_right Article 09 Sep 2005Publisher:IEEEJournal:Proceedings of the 2005 International Conference on Active Media Technology, 2005. (AMT 2005).

Authors: Guoyin Wang; Yu Wu; De-Sheng Yin;

doi: 10.1109/amt.2005.1505426

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

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Abstract

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.

Related Organizations

Chongqing University
China (People's Republic of)
Chongqing University of Posts and Telecommunications
China (People's Republic of)

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