Data Mining for Web Spam Detection Analysis of Techniques

World Wide Web is a source of vast information system, which is used by users by using search engine in order to look for required information from the high volume of data available. The sites appearing at the top of result page more frequently visited sites. These sites generally have more visitors since they have more relevant content. Thus, in order to increase the significance of a site, search engine optimization is used by various sites to improve their page rank legally. To improve page ranks illegally, web spam techniques are used. Page ranking algorithms of search engines are tricked into giving more weightage to a site that has no real merit. Which consequently result in users losing trust in search engines results. In this paper, we firstly explain web spamming techniques and then, present a comparison of data mining techniques for detecting web spam.