Web Spam DetectionUsing Fuzzy Clustering

Abstract

Internet is the most widespread medium to express our views and ideas and a lucrative platform for delivering the products. F or this in tention, search engine plays a key role. The information or data about the web pages are stored in an index database of the search engine for use in later queries. Web spam refers to a host of techniques to challenge the ranking algorithms of web search en gines and cause them to rank their web pages higher or for some other beneficial purpose. Usually, the web spam is irritating the web surfers and makes disruption. It ruins the quality of the web search engine. So, in this paper, we presented an efficient clustering method to detect the spam web pages effectively and accurately. Also, we employed various validation measures to validate our research work by using the clustering methods. The comparison s between the obtained charts and the val idation results clearly explain that the research work we presented produces the better result.