Search engines rank web pages according to different conditions. Some of them use publication time, some use last time of update, some checks the currency of the content of the web page. In this paper, a new algorithm is proposed which will work on the time of the web page, temporal information of the content and forms a binary tree to rank among web pages. GJCST-H Classification: H.2.8 H.3.3 A...

Web is the most important repository of different kinds of media such as text, sound, video, images etc. Web mining is the process of applying data mining techniques to automatically discover knowledge from such a diverse, sheer size data so that it can be more easily browsed, organized, and catalogued with minimal human intervention. A web site usually contains a large number of concept entiti...

filtering of web pages with inappropriate contents is one of the major issues in the field of intelligent network's security. having a good intelligent filtering method with high accuracy and speed is needed for any country in order to control users' access to the web. so, it has been considered by many researchers. presenting web pages in an understandable way by machines is one of the most im...

A new approach has been developed for acquiring bilingual web pages from the result pages of search engines, which is composed of two challenging tasks. The first task is to detect web records embedded in the result pages automatically via a clustering method of a sample page. Identifying these useful records through the clustering method allows the generation of highly effective features for t...

Web page categorization is an approach for improving precision and efficiency of information retrieval on the web by filtering out irrelevant pages. Current approaches to information filtering based on categorization assume the existence of a single classification hierarchy used for filtering. In this paper, we address the problem of filtering information categorized according to different clas...

User-generated annotations on social bookmarking sites can provide interesting and promising metadata for web page classification. These annotations include diverse types of information, such as tags and comments. Nonetheless, each kind of annotation has a different nature and popularity level. In this work, we analyze and evaluate the usefulness of each of these social annotations to classify ...

The WWW is an on-line hypertextual collection, and a more sophisticated algorithm for Web page clustering may have to be based on combined term-similarity and hyperlink-similarity measures. It has been observed that nearly all currently employed techniques for document classification on the Web make use of textual information only. In addition, most of these techniques are incapable of discover...

The rapid expansion of the internet has made web a popular place for disseminating and collecting information and also it opens many research topics on varies research fields. Since last few years, several attempts have been made on Web based research particularly based on HTML web pages because of its more availability. So that many Research Data sets have created and few of them are made avai...

In this paper, we propose an intelligent web document classification method, called TAgged-Region Progressive Analysis (TARPA). Instead of parsing the whole content of the web page while classifying a web document, TARPA parses the document into finer structured Tagged-Regions and extracts fewer and the most important regions to analyze and classify. If the few important tagged regions are not ...