Title :
A Constructing Method of Decision Tree and Classification Rule Extraction for Incomplete Information System
Author :
Yang, Haifeng ; Xu, Zhihai ; Zhang, Jifu ; Cai, Jianghui
Author_Institution :
Sch. of Comput. Sci. & Technol., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
Abstract :
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.
Keywords :
data mining; decision trees; entropy; classification rule extraction; conditional information entropy; constructing method; decision tree; generalized decision function; incomplete decision system; incomplete information system; star spectra data; Algorithm design and analysis; Classification algorithms; Classification tree analysis; Data mining; Information entropy; Information systems; Classification Rule; Conditional Information Entropy; Decision Tree;
Conference_Titel :
Computational Aspects of Social Networks (CASoN), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-8785-1
DOI :
10.1109/CASoN.2010.19
