Ве молиме користете го овој идентификатор да го цитирате или поврзете овој запис: http://hdl.handle.net/20.500.12188/16642
DC FieldValueLanguage
dc.contributor.authorCholakoska, Anaen_US
dc.contributor.authorShushlevska, Martinaen_US
dc.contributor.authorTodorov, Zdravkoen_US
dc.contributor.authorEfnusheva, Danijelaen_US
dc.date.accessioned2022-02-21T11:00:50Z-
dc.date.available2022-02-21T11:00:50Z-
dc.date.issued2021-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/16642-
dc.language.isoenen_US
dc.publisherSpringer International Publishingen_US
dc.titleAnalysis of Machine Learning Classification Techniques for Anomaly Detection with NSL-KDD Data Seten_US
dc.typeBook chapteren_US
dc.relation.conferenceLecture Notes in Networks and Systemsen_US
dc.identifier.doi10.1007/978-3-030-90321-3_21-
dc.identifier.urlhttps://link.springer.com/content/pdf/10.1007/978-3-030-90321-3_21-
item.fulltextNo Fulltext-
item.grantfulltextnone-
Appears in Collections:Faculty of Electrical Engineering and Information Technologies: Book Chapters
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