江苏省星级上云企业评定工作指南 - Nanjing

Isolation Forest - nju.edu.cn

Nanjing University, Nanjing 210093, China zhouzh@lamda.nju.edu.cn Abstract Most existing model-based approaches to anomaly de-tection construct a profile of normal instances, then iden-tify instances that do not conform to the normal profile as anomalies. This paper proposes a fundamentally different

  Isolation, Forest, Nanjing, Isolation forest