An Algorithm of Extracting Classification Rule Based on Classified Concept Lattice

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.