There are two shortages when the method of classification based on association rules is applied to classif; the Web documents:one is that the method process the Web document as a plain text, ignoring the HTML tags information of the Web page ; another is that either item of the association rules is only the words in the Web page,without considering the weight of the words,or it quantifies the weight of the word frequency, ignoring the importance of the location of the words in the Web document. Therefore,a new efficient method was proposed in the paper. It calculates the word's mixed weight by the information of the HTML tags feature, and then mines the classification rules based on the mixed weight to classify the Web pages. The result of experiment shows that the performance of this approach is better than the traditional associated classification methods.%针对网页分类中关联分类方法存在的如下两点不足:(1)仅把网页当成纯文本处理,忽略了网页的标签信息,(2)仅用网页中的特征词作为关联规则的项,没有考虑特征词的权重,或仅以词频来量化权重,忽略了特征词位置特征的影响,提出了基于特征词复合权重的关联网页分类方法.该方法利用网页标签信息所体现的位置特征计算特征词的复合权重,并以此权重为基础建立分类规则,对网页进行分类.实验结果表明,该方法取得了比传统的关联分类方法更好的效果.
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