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1 Ergebnisse
1
TFAD : A Decomposition Time Series Anomaly Detection Arc..:
, In:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
,
Zhang, Chaoli
;
Zhou, Tian
;
Wen, Qingsong
. - p. 2497-2507 , 2022
Link:
https://dl.acm.org/doi/10.1145/3511808.3557470
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>TFAD : A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3557470&Exemplar=1&LAN=DE A1 Zhang, Chaoli A1 Zhou, Tian A1 Wen, Qingsong A1 Sun, Liang PB ACM YR 2022 K1 data augmentation K1 frequency domain analysis K1 time series anomaly detection K1 time series decomposition K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Unsupervised learning K1 Anomaly detection K1 Mathematics of computing K1 Probability and statistics K1 Statistical paradigms K1 Time series analysis SP 2497 OP 2507 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3511808.3557470 DO https://dl.acm.org/doi/10.1145/3511808.3557470 SF ELIB - SuUB Bremen
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