Web spam detection using mapreduce approach to collective classification

Abstract

The web spam detection problem was considered in the paper. Based on interconnected spam and no-spam hosts a collective classification approach based on label propagation is aimed at discovering the spam hosts. Each host is represented as network node and links between hosts constitute network's edges. The proposed method provides reasonable results and is able to compute large data as is settled in MapReduce programming model. © 2013 Springer-Verlag Berlin Heidelberg.