… GSDB (Group Spam Detection algorithm based on review Burst). … ’ posting rates are bimodal,
and multiple spammers tend to … the reviewer posting behaviors and the co-bursting signals. …

… The aim of this work is to propose a robust review spam detection … both reviewer posting
behaviors and co-bursting signals. … al [11]., ‘‘Bimodal distribution and co-bursting in review spam …

… wrong opinion about a product/ service and it is very difficult to detect spam reviews manually.
Therefore, existing web spam or email spam detection techniques [13] are not suitable for …

… propose a robust review spam detection system wherein the … propose a co bursting network
based on co-bursting relations, … [11]., „„Bimodal distribution and co-bursting in review spam …

… To quantify the centrality of different types of nodes in the context of spam detection, we
proceed as follows. Given a network, we first compute the k-core value of every node. For each …

… The existing methods of review spam detection ignore the importance of the information …
irregular writing style of reviews. In this paper, a new review spam detection method based on …

… our unsupervised anomaly detection approach for singleton spam detection. Towards this
… model (HMM) has been proposed to detect spammers’ co-bursting behaviour by identifying …

… websites to detect the review fraudsters effectively for improving their service. To improve
the current dilemma of e-commerce websites, our paper aims to detect review fraudsters with …

… of spam review detection are also presented. This research identified that success factors of
any review spam detection … the review dataset, and the accuracy of review spam detection …

… a comprehensive review of recent research in deceptive opinion spam detection, which may
… For example, most reviews do not spam in a deceptive opinion spam detection dataset, and …