查看文章

In today’s era WWW has become one of best sources of information and the reason for this is people are using search engines more frequently than before. The pages which are misleading the ranking algorithms in the search engines are called the Web Spam. Web spam try to manipulate search engine algorithms in order to advance the page ranking of specific web pages in search engine results than those web pages deserve. There are certain ways to distinguish such spam pages. One of them is using classification that is learning a classification model for classifying web pages whether that page is spam or non-spam. Comparative and observed analysis of web spam detection using data mining techniques like C4. 5, JRIP, LAD Tree, and Random Forest have been presented in this paper. Experiments were carried out on three feature sets of standard dataset WEB SPAM UK-2007.