Statistical algorithms for anomaly detection
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.advisor | Tirkkonen, Olav | |
dc.contributor.author | Jami, Marzieh | |
dc.contributor.school | Sähkötekniikan korkeakoulu | fi |
dc.contributor.supervisor | Tirkkonen, Olav | |
dc.date.accessioned | 2020-12-20T18:11:57Z | |
dc.date.available | 2020-12-20T18:11:57Z | |
dc.date.issued | 2020-12-15 | |
dc.format.extent | 42 | |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/97581 | |
dc.identifier.urn | URN:NBN:fi:aalto-2020122056408 | |
dc.language.iso | en | en |
dc.location | P1 | fi |
dc.programme | CCIS - Master’s Programme in Computer, Communication and Information Sciences (TS2013) | fi |
dc.programme.major | Communications Engineering | fi |
dc.programme.mcode | ELEC3029 | fi |
dc.subject.keyword | anomaly detection | en |
dc.subject.keyword | statistical hypothesis testing | en |
dc.subject.keyword | k-nearest neighbor | en |
dc.subject.keyword | wireless communications | en |
dc.title | Statistical algorithms for anomaly detection | en |
dc.type | G2 Pro gradu, diplomityö | fi |
dc.type.ontasot | Master's thesis | en |
dc.type.ontasot | Diplomityö | fi |
local.aalto.electroniconly | yes | |
local.aalto.openaccess | no |