Mining Text Classification Rules Based on Weighted Frequent Itemsets

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.