Title :
An Algorithm of Extracting Classification Rule Based on Classified Concept Lattice
Author :
Tang, Jingsheng ; He, Wei ; Zhang, Wei ; Fan, Lei
Author_Institution :
Dept. of Sci., MinZu Univ. of China, Beijing, China
Abstract :
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.
Keywords :
data analysis; knowledge acquisition; pattern classification; Visual C++ 6.0; classification rule extraction algorithm; concept lattice; data analysis; knowledge extraction; Algorithm design and analysis; Classification algorithms; Context; Data mining; Itemsets; Lattices; Machine learning algorithms;
Conference_Titel :
Database Technology and Applications (DBTA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6975-8
Electronic_ISBN :
978-1-4244-6977-2
DOI :
10.1109/DBTA.2010.5658971
