Selective ensemble method for anomaly detection based on parallel learning
Selective ensemble method for anomaly detection based on parallel learning
About this item
Full title
Author / Creator
Liu, Yansong , Zhu, Li , Ding, Lei , Huang, Zifeng , Sui, He , Wang, Shuang and Song, Yuedong
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publication information
Publisher
London: Nature Publishing Group UK
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Contents
Anomaly detection is a highly important task in the field of data analysis. Traditional anomaly detection approaches often strongly depend on data size, structure and features, while introducing the idea of ensemble into anomaly detection can greatly improve the generalization ability. Ensemble-based anomaly detection methods still face some challe...
Alternative Titles
Full title
Selective ensemble method for anomaly detection based on parallel learning
Authors, Artists and Contributors
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_b2d0d994acde47dcb339a968a6d60c4c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b2d0d994acde47dcb339a968a6d60c4c
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-51849-3
