LeSiNN: Detecting anomalies by Identifying least similar nearest neighbours

• Main Authors: PANG, Guansong, TING, Kai Ming, ALBRECHT, David
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Least Similar Nearest Neighbours; kNN; Anomaly Detection; Ensemble; Databases and Information Systems; Data Storage Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/7147; https://ink.library.smu.edu.sg/context/sis_research/article/8150/viewcontent/ICDM15Workshop_LeSiNNpaper.pdf
• Institution: Singapore Management University

We introduce the concept of Least Similar Nearest Neighbours (LeSiNN) and use LeSiNN to detect anomalies directly. Although there is an existing method which is a special case of LeSiNN, this paper is the first to clearly articulate the underlying concept, as far as we know. LeSiNN is the first ense...