Erratic server behavior detection using machine learning on streams of monitoring data

Number of the records: 1

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SYSNO	0538411
Title	Erratic server behavior detection using machine learning on streams of monitoring data
Author(s)	Adam, Martin (FZU-D)_ORCID Magnoni, L. (CH) Pilát, M. (CZ) Adamová, Dagmar (UJF-V) [OJS]_{RID, ORCID, SAI}
Corespondence/senior	Adam, Martin - Korespondující autor
Source Title	EPJ Web of Conferences, 245. S. 1-8. - Les Ulis : EDP Sciences, 2020 / Doglioni C. ; Jackson P. ; Kamleh W. ; Kim D.Y. ; Silvestris L. ; Stewart G.A.
Conference	International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019) /24./, 04.11.2019 - 08.11.2019, Adelaide
Article number	07002
Document Type	Konferenční příspěvek (zahraniční konf.)
Grant	LM2015058 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
	CZ.02.1.01/0.0/0.0/16_013/0001404, XE - EU countries
	EF16_013/0001404 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
	LM2018104 GA MŠMT - Ministry of Education, Youth and Sports (MEYS), CZ - Czech Republic
Institutional support	FZU-D - RVO:68378271 ; UJF-V - RVO:61389005
Language	eng
Country	FR
Keywords	machine learning * monitoring
Permanent Link	http://hdl.handle.net/11104/0316216

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Number of the records: 1