udCATS: A Comprehensive Unsupervised Deep Learning Framework for Detecting Collective Anomalies in Time Series

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Bibliographic Details
Main Authors: Truong Son Pham, Viet Hung Nguyen, Anh Thang Le, Van Duong Bui
Format: Article
Language:English
Published: Polish Information Processing Society 2022-02-01
Series:Annals of computer science and information systems
Online Access:https://annals-csis.org/Volume_33/drp/pdf/04.pdf
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author Truong Son Pham
Viet Hung Nguyen
Anh Thang Le
Van Duong Bui
author_facet Truong Son Pham
Viet Hung Nguyen
Anh Thang Le
Van Duong Bui
author_sort Truong Son Pham
collection DOAJ
format Article
id doaj-art-ddfea00fe43f4f9cb18fdd7c27be3941
institution Kabale University
issn 2300-5963
language English
publishDate 2022-02-01
publisher Polish Information Processing Society
record_format Article
series Annals of computer science and information systems
spelling doaj-art-ddfea00fe43f4f9cb18fdd7c27be39412025-08-20T03:27:37ZengPolish Information Processing SocietyAnnals of computer science and information systems2300-59632022-02-013320120610.15439/2022R04udCATS: A Comprehensive Unsupervised Deep Learning Framework for Detecting Collective Anomalies in Time SeriesTruong Son PhamViet Hung NguyenAnh Thang LeVan Duong Buihttps://annals-csis.org/Volume_33/drp/pdf/04.pdf
spellingShingle Truong Son Pham
Viet Hung Nguyen
Anh Thang Le
Van Duong Bui
udCATS: A Comprehensive Unsupervised Deep Learning Framework for Detecting Collective Anomalies in Time Series
Annals of computer science and information systems
title udCATS: A Comprehensive Unsupervised Deep Learning Framework for Detecting Collective Anomalies in Time Series
title_full udCATS: A Comprehensive Unsupervised Deep Learning Framework for Detecting Collective Anomalies in Time Series
title_fullStr udCATS: A Comprehensive Unsupervised Deep Learning Framework for Detecting Collective Anomalies in Time Series
title_full_unstemmed udCATS: A Comprehensive Unsupervised Deep Learning Framework for Detecting Collective Anomalies in Time Series
title_short udCATS: A Comprehensive Unsupervised Deep Learning Framework for Detecting Collective Anomalies in Time Series
title_sort udcats a comprehensive unsupervised deep learning framework for detecting collective anomalies in time series
url https://annals-csis.org/Volume_33/drp/pdf/04.pdf
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AT viethungnguyen udcatsacomprehensiveunsuperviseddeeplearningframeworkfordetectingcollectiveanomaliesintimeseries
AT anhthangle udcatsacomprehensiveunsuperviseddeeplearningframeworkfordetectingcollectiveanomaliesintimeseries
AT vanduongbui udcatsacomprehensiveunsuperviseddeeplearningframeworkfordetectingcollectiveanomaliesintimeseries