Improved autoencoder for unsupervised anomaly detection-Reference-Cited by-同舟云学术

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Improved autoencoder for unsupervised anomaly detection

Published:2021-07-26 Issue:12 Volume:36 Page:7103-7125
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Cheng Zhen¹^ORCID,Wang Siwei¹^ORCID,Zhang Pei¹^ORCID,Wang Siqi¹^ORCID,Liu Xinwang¹^ORCID,Zhu En¹^ORCID

Affiliation:

1. School of Computer National University of Defense Technology Changsha China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Graduate Research and Innovation Projects of Jiangsu Province

National University of Defense Technology

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22582

Reference32 articles.

1. A survey of anomaly detection techniques in financial domain

2. A Consolidated Decision Tree-Based Intrusion Detection System for Binary and Multiclass Imbalanced Datasets

3. Performance Assessment of Supervised Classifiers for Designing Intrusion Detection Systems: A Comprehensive Review and Recommendations for Future Research

4. Outlier detection: a survey;Chandola V;ACM Comput Surveys,2007

5. Principal component analysis

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