Robust outlier detection based on the changing rate of directed density ratio

作者：

Highlights：

• Propose an outlierness measure – directed density ratio – based on nearest neighbors.

• Propose an outlier detector named DCROD based on the directed density ratio.

• DCROD is robust against the change of the parameter and data distribution.

摘要

•Propose an outlierness measure – directed density ratio – based on nearest neighbors.•Propose an outlier detector named DCROD based on the directed density ratio.•DCROD is robust against the change of the parameter and data distribution.

论文关键词：Outlier detection,Kernel density estimation,Extended nearest neighbors,Directed density ratio

论文评审过程：Received 21 January 2022, Revised 29 April 2022, Accepted 25 June 2022, Available online 30 June 2022, Version of Record 4 July 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117988