Homophily outlier detection in non-IID categorical data

• Main Authors: PANG, Guansong, CAO, Longbing, CHEN, Ling
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Outlier Detection; Feature Selection; Non-IID Learning; Categorical Data; Homophily Relation; Random Walk; Coupling Learning; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/7017; https://ink.library.smu.edu.sg/context/sis_research/article/8020/viewcontent/2103.11516.pdf
• Institution: Singapore Management University

Most of existing outlier detection methods assume that the outlier factors (i.e., outlierness scoring measures) of data entities (e.g., feature values and data objects) are Independent and Identically Distributed (IID). This assumption does not hold in real-world applications where the outlierness o...