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Front. Inform. Technol. Electron. Eng.  2011, Vol. 12 Issue (5): 379-386    DOI: 10.1631/jzus.C1000205
    
Extracting classification rules based on a cumulative probability distribution approach
Jr-shian Chen
Department of Computer Science and Information Management, Hungkuang University, Taiwan 433, Taichung
Extracting classification rules based on a cumulative probability distribution approach
Jr-shian Chen
Department of Computer Science and Information Management, Hungkuang University, Taiwan 433, Taichung
 全文: PDF(205 KB)  
摘要: This paper deals with a reinforced cumulative probability distribution approach (CPDA) based method for extracting classification rules. The method includes two phases: (1) automatic generation of the membership function, and (2) use of the corresponding linguistic data to extract classification rules. The proposed method can determine suitable interval boundaries for any given dataset based on its own characteristics, and generate the fuzzy membership functions automatically. Experimental results show that the proposed method surpasses traditional methods in accuracy.
关键词: Cumulative probability distribution approach (CPDA)Classification ruleC4.5    
Abstract: This paper deals with a reinforced cumulative probability distribution approach (CPDA) based method for extracting classification rules. The method includes two phases: (1) automatic generation of the membership function, and (2) use of the corresponding linguistic data to extract classification rules. The proposed method can determine suitable interval boundaries for any given dataset based on its own characteristics, and generate the fuzzy membership functions automatically. Experimental results show that the proposed method surpasses traditional methods in accuracy.
Key words: Cumulative probability distribution approach (CPDA)    Classification rule    C4.5
收稿日期: 2010-06-18 出版日期: 2011-05-09
CLC:  TP311  
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Jr-shian Chen. Extracting classification rules based on a cumulative probability distribution approach. Front. Inform. Technol. Electron. Eng., 2011, 12(5): 379-386.

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http://www.zjujournals.com/xueshu/fitee/CN/10.1631/jzus.C1000205        http://www.zjujournals.com/xueshu/fitee/CN/Y2011/V12/I5/379

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