International Association of Scientific Innovation and Research (IASIR)
Spam is one of the problems which are faced on social networking websites. Everyone today uses the internet very much and hence, everyone is familiar with the spam too. Spam is nothing but the mails or more appropriately it is defined as junk mails which create hindrance in doing the work. Various techniques like decision tree, naive Bayesian, etc. are available to deal with this problem. Here, in this paper a spam detection system has been introduced involving the use of the clustered KNN approach because of which great accuracy has been achieved and that too in no time.