Guest editorial: Non-IID outlier detection in complex contexts

• Main Authors: PANG, Guansong, ANGIULLI, Fabrizio, CUCURINGU, Mihai, LIU, Huan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/7018; https://ink.library.smu.edu.sg/context/sis_research/article/8021/viewcontent/Guest_Editorial_Non_IID_Outlier_Detection_in_Complex_Contexts.pdf
• Institution: Singapore Management University

Outlier detection, also known as anomaly detection, aims at identifying data instances that are rare or significantly different from the majority of instances. Due to its significance in many critical domains like cybersecurity, fintech, healthcare, public security, and AI safety, outlier detection...