Research of Web Text Classification Based on Rough Set and KNN
Xiangrui Meng · Journal of Anhui University of Science and Technology · 2008
In order to quickly and precisely classify and search useful information from huge information database,in the paper a kind of mixed model of web text classification based on rough set and KNN was introduced.By using the theory of attributes reduction of rough set,number of vector dimensions in text classification process was reduced.A kind of simplified algorithm for attributes reduction based on distinct matrix was used.In the process of feature selection,method of mutual information was used.Experiments with the mixed model were conducted.The results compared with traditional KNN method show that the mixed algorithm is feasible.