An irrelevant attributes resistant approach to anomaly detection in high-dimensional space using a deep hypersphere structure-Reference-Cited by-同舟云学术

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An irrelevant attributes resistant approach to anomaly detection in high-dimensional space using a deep hypersphere structure

Published:2022-02 Issue: Volume:116 Page:108301
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Zheng Jian^ORCID,Qu Hongchun^ORCID,Li Zhaoni,Li Lin,Tang Xiaoming

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Software

Reference96 articles.

1. An introduction to outlier analysis;Aggarwal,2013

2. Outlier Analysis;Aggarwal,2016

3. Markov boundary-based outlier mining;Yu;IEEE Trans. Neural Netw. Learn. Syst.,2019

4. Structured and unstructured outlier identification for robust PCA: A fast parameter free algorithm;Menon;IEEE Trans. Signal Process.,2019

5. Outlier detection using structural scores in a high-dimensional space;Li;IEEE Trans. Cybern.,2020

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