【摘要】 针对特征向量分量的权重和文本大小对分类规则产生的影响,提出一种可以提高关联文本分类性能的文本分类规则挖掘方法,提出了加权频繁项集的概念和相应的加权频繁项集挖掘算法,在分类规则中突出特征向量权重大的向量分量;提出一种特征向量预处理方法,消除文本大小对挖掘分类规则的影响。实验表明,解决上述两个问题将可以很好的提高文本分类的性能。更多还原

【Abstract】 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.更多还原