Semi-supervised anomaly detection algorithms: A comparative summary and future research directions-Reference-Cited by-同舟云学术

Semi-supervised anomaly detection algorithms: A comparative summary and future research directions

Published:2021-04 Issue: Volume:218 Page:106878
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Villa-Pérez Miryam Elizabeth^ORCID,Álvarez-Carmona Miguel Á.,Loyola-González Octavio,Medina-Pérez Miguel Angel,Velazco-Rossell Juan Carlos,Choo Kim-Kwang Raymond

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference132 articles.

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3. Transfer learning for anomaly detection through localized and unsupervised instance selection;Vercruyssen,2020

4. Anomaly detection: A survey;Chandola;ACM Comput. Surv.,2009

5. Anomaly detection;Mehrotra,2017

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