Clustered K-Nearest Neighbor Process for Spam Detection in Social Networks
Spam is one of the issues of the Internet which required attention the most especially on the social networking websites and that’s why spam detection is a very concerned issue. Although there are various issues related to the Internet but spam is the one which is faced by everyone who is using the Internet. There are various strategies which are used by the researchers to detect the spam; this is discussed in the literature review section of this paper. KNN is one of those techniques and it is abbreviated as K-Nearest Neighbor classification, it is basically used to find the nearest neighbor based on the pattern recognition and it is a non-parametric technique.
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