Due to the exponential growth of Internet users and traffic, information seekers depend highly on search engines extract relevant information. accessibility a large amount textual, audio, video etc., contents, responsibility has increased. The engine provides concerning their query, based content, link structure, etc. However, it does not guarantee correctness performance is dependent upon rank...

Automatic genre classification of Web pages is currently young compared to other Web classification tasks. Corpora are just starting to be collected and organized in a systematic way, feature extraction techniques are inconsistent and not well detailed, genres are constantly in dispute, and novel applications have not been implemented. This paper attempts to review and make progress in the area...

paper introduces a new algorithm for dimensionality reduction and its application on web page classification. A heterogeneous collection of web pages is used as the dataset. Selected attributes for classification are the textual content of pages. Using the offered algorithm, high dimension of attributes-words extracted from the pages-are projected onto a new hyper plane having dimensions equal ...

With many web sites appearing everyday, it has become increasingly difficult to keep the web directories up-to-date and growing. The interest in the usage of machine learning on automatic text categorization is further stimulated with this intensive growth of World Wide Web. We believe that Web page classification is significantly different from a traditional text classification because of the ...