Mining coherent anomaly collections on web data

• Main Authors: DAI, Hanbo, ZHU, Feida, Ee-peng LIM, Hwee Hwa PANG
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Anomaly/outlier detection; Anomaly collection/cluster; Computer Sciences; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/2869; https://ink.library.smu.edu.sg/context/sis_research/article/3869/viewcontent/MiningCoherentAnomalyCollections_2012_CIKM.pdf
• Institution: Singapore Management University

The recent boom of weblogs and social media has attached increasing importance to the identification of suspicious users with unusual behavior, such as spammers or fraudulent reviewers. A typical spamming strategy is to employ multiple dummy accounts to collectively promote a target, be it a URL or...