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In this paper, we report our work on spam filtering with three novel Bayesian classification methods: aggregating one-dependence estimators (AODE), hidden Naive Bayes (HNB), locally weighted learning with Naive Bayes (LWNB). Other four traditional classifiers: Naive Bayes, k nearest neighbor (kNN), support vector machine (SVM), C4.5 are also performed for comparison. Four feature selection methods:...
In the recent few years, web mining has become a hotspot of data mining with the development of Internet. Web pages classification is one of the essential techniques for web mining since classifying web pages of an interesting class is often the first step of mining the web. The high dimensional text vocabulary space is one of the main challenges of web pages. In this paper, we study the capabilities...
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