Deep isolation forest for anomaly detection

• Main Authors: XU, Hongzuo, PANG, Guansong, WANG, Yijie, WANG, Yongjun
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Anomaly Detection; Isolation Forest; Deep Representation; Ensemble Learning; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/8003; https://ink.library.smu.edu.sg/context/sis_research/article/9006/viewcontent/DeepIsolationForest_av.pdf
• Institution: Singapore Management University

Isolation forest (iForest) has been emerging as arguably the most popular anomaly detector in recent years due to its general effectiveness across different benchmarks and strong scalability. Nevertheless, its linear axis-parallel isolation method often leads to (i) failure in detecting hard anomali...