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A Constructing Method of Decision Tree and Classification Rule Extraction for Incomplete Information System

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4 Author(s)
Haifeng Yang ; Sch. of Comput. Sci. & Technol., Taiyuan Univ. of Sci. & Technol., Taiyuan, China ; Zhihai Xu ; Jifu Zhang ; Jianghui Cai

Decision tree is an effective way of classification rule extraction. For the incomplete decision system, an algorithm of constructing decision tree and classification rule extraction is presented based on the logical relationship between attributes which is described with generalized decision function, and conditional information entropy as heuristic. In the end, experimental results validate its correctness and efficiency by using star spectra data as the incomplete decision system.

Published in:

Computational Aspects of Social Networks (CASoN), 2010 International Conference on

Date of Conference:

26-28 Sept. 2010