The size of text and weight of elements in feature vectors may affect text classification rule. In order to improve the classification accuracy,new concepts of the weighted frequent items and a weighted frequent item set mining algorithm to highlight great weight items were proposed. A pre-processing method for feature vectors was proposed to eliminate ill effects of the size of text on generating classification rules. Experiments demonstrated utility and feasibility of the method.
