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A framework for scalable real‐time anomaly detection over v..:
Budgaga, Walid
;
Malensek, Matthew
;
Lee Pallickara, Sangmi
.
Concurrency and Computation: Practice and Experience. 29 (2017) 12 - p. , 2017
Link:
https://doi.org/10.1002/cpe.4106
RT Journal T1 <Title>A framework for scalable real‐time anomaly detection over voluminous, geospatial data streams</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1002_cpe.4106&Exemplar=1&LAN=DE A1 Budgaga, Walid A1 Malensek, Matthew A1 Lee Pallickara, Sangmi A1 Pallickara, Shrideep PB Wiley YR 2017 SN 1532-0626 SN 1532-0634 JF Concurrency and Computation: Practice and Experience VO 29 IS 12 LK http://dx.doi.org/https://doi.org/10.1002/cpe.4106 DO https://doi.org/10.1002/cpe.4106 SF ELIB - SuUB Bremen
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