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1 Ergebnisse
1
Data-driven Approach using Unsupervised Learning for Detect..:
, In:
2022 IEEE International Conference on Big Data (Big Data)
,
Cho, Eunbi
;
Hong, Sungil
;
Yoon, Hyeseo
... - p. 6613-6616 , 2022
Link:
https://doi.org/10.1109/BigData55660.2022.10020434
RT T1 <cTitle>2022 IEEE International Conference on Big Data (Big Data)</cTitle>: T1 <Title>Data-driven Approach using Unsupervised Learning for Detecting Anomalies in Facility Operations</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10020434&Exemplar=1&LAN=DE A1 Cho, Eunbi A1 Hong, Sungil A1 Yoon, Hyeseo A1 Cho, Eunsung A1 Shim, Jinho A1 Oh, Joohee A1 Kim, Junghyun YR 2022 K1 Temperature distribution K1 Buildings K1 Clustering algorithms K1 Carbon dioxide K1 Big Data K1 Energy efficiency K1 Behavioral sciences K1 Energy Efficiency K1 Unsupervised Learning K1 Anomaly Detection K1 DBSCAN K1 Hausdorff Distance K1 DBA SP 6613 OP 6616 LK http://dx.doi.org/https://doi.org/10.1109/BigData55660.2022.10020434 DO https://doi.org/10.1109/BigData55660.2022.10020434 SF ELIB - SuUB Bremen
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