Unsupervised feature selection for outlier detection by modelling hierarchical value-feature couplings

• Main Authors: PANG, Guansong, CAO, Longbing, CHEN, Ling, LIU, Huan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Outlying Feature Selection; Coupling Learning; Non-IID Outlier Detection; Databases and Information Systems; Data Storage Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/7145; https://ink.library.smu.edu.sg/context/sis_research/article/8148/viewcontent/07837865.pdf
• Institution: Singapore Management University

Proper feature selection for unsupervised outlier detection can improve detection performance but is very challenging due to complex feature interactions, the mixture of relevant features with noisy/redundant features in imbalanced data, and the unavailability of class labels. Little work has been d...