Text Categorization Based on Rough Set Attributes Reduction
Hongfei Lin · Journal of Zhengzhou University · 2007
Based on attributes reduction and discarding old complicated algorithms of matching rules,the method of combining several attributes set after attribute reduction and filtering the attributes,then constructing classifiers is presented. The results show that this way is not only easy,but also reduces the dimension and advances the results of categorization.