Detecting Extreme Rank Anomalous Collections

• Main Authors: DAI, Hanbo, ZHU, Feida, LIM, Ee-Peng, PANG, Hwee Hwa
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Computer Sciences; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/2870; https://ink.library.smu.edu.sg/context/sis_research/article/3870/viewcontent/ERAC_SDM_cr.pdf
• Institution: Singapore Management University

Anomaly or outlier detection has a wide range of applications, including fraud and spam detection. Most existing studies focus on detecting point anomalies, i.e., individual, isolated entities. However, there is an increasing number of applications in which anomalies do not occur individually, but i...