The existing search engines sometimes give unsatisfactory search result for lack of any categorization of search result. If there is some means to know the preference of user about the search result and rank pages according to that preference, the result will be more useful and accurate to the user. In the present paper a web page ranking algorithm is being proposed based on syntactic classific...

Web page classification provides an efficient information search to internet users. However, presently most of the web directories are still being classified manually or semiautomatically. This paper analyses the concept of the statistical analysis methods known as Principal Component Analysis (PCA) and Independent Component Analysis (ICA). The main purpose for using integration of PCA and ICA ...

Textual document classification is one challenging area of data mining. Web page classification is a type of textual document classification. However, the text contained in web pages is not homogenous since a web page can discuss related but different subjects. Thus, results obtained by a textual classifier on web pages are not as better as those obtained on textual documents. Therefore, we nee...

Semantic segmentation is the task of clustering together parts an image that belong to same object class. webpages important for inferring contextual information from webpage. This study examines and compares deep learning methods classifying based on imagery obscured by semantic segmentation. Fully convolutional neural network architectures (UNet FCN-8) with defined hyperparameters loss functi...

Universities work in collaboration with many other organizations, and these collaborations have important consequences for the national economy. The ability to measure these collaborations in a quick, timely fashion in comparison with similar organizations would enable institutions to improve collaborative efforts. This article investigates the potential of web links to act as an indicator of c...

Web page classification differs from traditional text classification due to additional information by Hyper Text Markup Language (HTML) structure and the presence of hyperlinks. While effort was taken to exploit hyperlinks for classification, web pages structured nature is rarely considered. A noticeable HTML documents feature is HTML tags and respective attributes that ensure that HTML documen...

Unlike conventional data or text, Web pages typically contain a large amount of information that is not part of the main contents of the pages, e.g., banner ads, navigation bars, and copyright notices. Such irrelevant information (which we call Web page noise) in Web pages can seriously harm Web mining, e.g., clustering and classification. In this paper, we propose a novel feature weighting tec...