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

fYear

2010

fDate

26-28 Sept. 2010

Firstpage

49

Lastpage

52

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;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Taiyuan

Print_ISBN

978-1-4244-8785-1

Type

conf

DOI

10.1109/CASoN.2010.19

Filename

5636801