Results
eNauka >
Results >
Big-data-driven Anomaly Detection in Industry (4.0): an approach and a case study
| Title: | Big-data-driven Anomaly Detection in Industry (4.0): an approach and a case study | Authors: | Stojanovic, Ljiljana; Dinic, Marko; Stojanovic, Nenad; Stojadinovic, Aleksandar | Issue Date: | 2016 | Publication: | 2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | Type: | Conference Paper | Collation: | str. 1647-1652 | WoS-ID: | 000399115001084 | URI: | https://enauka.gov.rs/handle/123456789/821084 | Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | Mp. category will be shown later |
66
WEB OF SCIENCETM
Google ScholarTM
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.