Twitter spam account detection based on clustering and classification methods
Twitter spam account detection based on clustering and classification methods is a scholarly work, published in 2018 in ''The Journal of Supercomputing''. The main subjects of the publication include information retrieval, intrusion detection system, random forest, traffic classification, data mining, Internet, artificial intelligence, electronic spam, phishing, World Wide Web, popularity, microblogging, social media, support vector machine, machine learning, cluster analysis, computer science, and social network. The paper proposes a different approach to detect spammers on Twitter based on the similarities that exist among spam accounts.