Assessment ofprivacy-preservingcomputation techniques formarketing analytics
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.advisor | Artyugin, Mikhail | |
dc.contributor.advisor | Wang, Huanyu | |
dc.contributor.author | Kartaev, Timur | |
dc.contributor.school | Perustieteiden korkeakoulu | fi |
dc.contributor.supervisor | Dubrova, Elena | |
dc.date.accessioned | 2020-08-24T07:02:39Z | |
dc.date.available | 2020-08-24T07:02:39Z | |
dc.date.issued | 2020-08-18 | |
dc.format.extent | 70+2 | |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/46220 | |
dc.identifier.urn | URN:NBN:fi:aalto-202008245159 | |
dc.language.iso | en | en |
dc.programme | Master’s Programme in Security and Cloud Computing (SECCLO) | fi |
dc.programme.major | Security and Cloud Computing | fi |
dc.programme.mcode | SCI3084 | fi |
dc.subject.keyword | privacy | en |
dc.subject.keyword | anonymization | en |
dc.subject.keyword | ime-series dataset | en |
dc.subject.keyword | marketing analytics | en |
dc.subject.keyword | disclosure risk | en |
dc.subject.keyword | Amazon Forecast | en |
dc.title | Assessment ofprivacy-preservingcomputation techniques formarketing analytics | 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 |