Parallel mining of contextual outlier using sparse subspace

作者：

Highlights：

• We propose a parallel data reduction scheme for contextual outlier mining.

• A parallel PSO algorithm is used to search the sparse subspace.

• We present a parallel contextual outlier mining method using sparse subspace.

• We implement a parallel outlier detection algorithm using MapReduce model.

摘要

•We propose a parallel data reduction scheme for contextual outlier mining.•A parallel PSO algorithm is used to search the sparse subspace.•We present a parallel contextual outlier mining method using sparse subspace.•We implement a parallel outlier detection algorithm using MapReduce model.

论文关键词：Contextual outlier,Sparse subspace,Particle swarm optimization,Parallel data reduction,Parallel mining

论文评审过程：Received 4 September 2018, Revised 15 February 2019, Accepted 16 February 2019, Available online 18 February 2019, Version of Record 23 February 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.02.020