Web page classification is the problem of assigning predefined categories to web pages. A challenge in web page classification is how to deal with the high dimensionality of the feature space. We present a feature reduction method based on the rough set theory and investigate the effectiveness of the rough set feature selection method on web page classification. Our experiments indicate that ro...

The web is a huge repository of information which needs for accurate automated classifiers for Web pages to maintain Web directories and to increase search engines‟ performance. In web page classification problem each term in each HTML/XML tag of each Web page can be taken as a feature, an efficient methods to select best features to reduce feature space of the Web page classification problem d...

This paper describes automatic Web-page classification by using machine learning methods. Recently, the importance of portal site services is increasing including the search engine function on World Wide Web. Especially, the portal site such as for Yahoo! service which hierarchically classifies Web-pages into many categories is becoming popular. However, the classification of Web-page into each...

With the increasing amount of web pages over the internet, it has been a major concern to obtain information on the internet accurately at a reasonable cost with decent performance. A potential solution is through the classification of web pages into meaningful categories. An effective classification of web pages is of benefit to various applications such as web mining and search engines. Unlik...

Automatic hypertext classification is an essential technique for organizing vast amount of Internet Web pages or HTML documents. One the of problems in classifying Web pages is that Web pages are usually short and contain insufficient text to clearly identify its category. Text classification mechanisms, by analyzing only the contents of the document itself, are relatively ineffective in classi...

We address the problem of web page classification within the framework of automatic annotation for Semantic Web. The performance of several classification algorithms is explored on the Four Universities dataset using page text and link information, with a limited-size feature set. Several well-known classification algorithms are evaluated on the task of web-page classification using the text of...

In this paper, a semantic analysis for Web page classification is presented. A set of Web pages, resulting from a simple query to a Web browser, is categorized by disambiguating the meaning of the term used for the search. The disambiguation process begins with the isolation of some outstanding paragraphs; linguistic markers are used to accomplish this task. The search term is located within th...