An algorithm of extracting classification rule based on classified concept lattice

被引:0
作者
Tang, Jingsheng [1 ]
He, Wei [1 ]
Zhang, Wei [1 ]
Fan, Lei [2 ]
机构
[1] MinZu Univ China, Dept Sci, Beijing, Peoples R China
[2] Capital Normal Univ, Dept Educ Technol, Beijing, Peoples R China
来源
2010 2ND INTERNATIONAL WORKSHOP ON DATABASE TECHNOLOGY AND APPLICATIONS PROCEEDINGS (DBTA) | 2010年
关键词
formal context; concept lattice; classification rules; Chein algorithm;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The concept lattice is an effective tool for data analysis and knowledge extraction. In this paper, the method of extracting classification rules based on concept lattice is studied. According to the characteristics of classification rules, only the nodes with class attribute are generated in the process of constructing concept lattices; thereby the number of lattice nodes has been reduced and the efficiency of extracting classification rule has been improved. To verify effectiveness of the proposed algorithm of extracting classification rule, it is realized through Visual C++ 6.0, and experimental results show that the proposed algorithm is effective.
引用
收藏
页数:4
相关论文
共 9 条
[1]  
[Anonymous], 1982, ORDERED SETS
[2]  
[Anonymous], 2000, J. Comput. Res. Devel.
[3]  
Blake C. L., 1998, Uci repository of machine learning databases
[4]  
Chein Michel., 1969, B MATH MATIQUE SOCI, P21
[5]  
Dunham Margaret H., 2005, DATA MINING TUTORIAL
[6]  
Ganter B., 2007, FORMAL CONCEPT ANAL
[7]  
Ge Bin, 2009, TECHNOL REV, V27, P71
[8]  
Troy AD, 2007, LECT NOTES ARTIF INT, V4604, P206
[9]  
Wang Su-jing, 2007, Computer Engineering and Applications, V43, P157