Results
eNauka >
Results >
A data-driven approach for multivariate contextualized anomaly detection: industry use
| Title: | A data-driven approach for multivariate contextualized anomaly detection: industry use | Authors: | Stojanovic, Nenad; Dinic, Marko; Stojanovic, Ljiljana | Issue Date: | 2017 | Publication: | 2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | Type: | Conference Paper | Collation: | str. 1560-1569 | WoS-ID: | 000428073701069 | URI: | https://enauka.gov.rs/handle/123456789/813092 | Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | Mp. category will be shown later |
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.