A generic tool for link spam detection in search engine results using graph mining

Web Spam is a portion of web page which has been created with the intention of increasing its ranking in search engines. Web spamming [4] refers to actions intended to mislead search engines into ranking certain pages higher than they deserve. Recently, the amount of web spam has increased dramatically, leading to a degradation of search results. And also the web spam takes large amount of disk space, additional crawling, indexing, query processing time and the users gets affected by getting irrelevant results. Most of the websites are intended to increase the popularity of the links and to display their websites in top ten search results. This research work is towards to reduce the link spamming in web search engine results using Graph mining. This system takes various parameters such as Degree, PageRank, and finds close supporters related features of the links. The purpose of this research is to identify the link spamming techniques, to ignore spam links and to improve the quality of the search engine results.