改进的朴素贝叶斯聚类Web文本分类挖掘技术

通过对Web数据的特点进行详细的分析,在基于传统的贝叶斯聚类算法基础上,采用网页标记形式来有效地弥补朴素贝叶斯算法的不足,并将改进的方法应用在文本分类中,是一种很好的改进思路。最后实验结果也表明,此方法能够有效地对文本进行分类。

The Improved Naive Bayes Text Classification Data Mining Clustering Web

This paper first introduced the Web mining and text classification of basic theory,specific to the Web data characteristics are analyzed in detail,mainly based on the traditional Bayesian clustering algorithm based on the proposed algorithm,the improvement of the webpage,marked form to effectively compensates for the naive Bayes algorithm is insufficient,will be improved method and its application in text classification,finally the experimental results show that the method can effectively classify the text.