Anomaly Detection in Application Logs
| dc.contributor | Aalto-yliopisto | fi |
| dc.contributor | Aalto University | en |
| dc.contributor.advisor | Gouverneur, Amaury | |
| dc.contributor.advisor | Ghosh, Anubhab | |
| dc.contributor.author | Tian, Zhen | |
| dc.contributor.school | Perustieteiden korkeakoulu | fi |
| dc.contributor.supervisor | Chatterjee, Saikat | |
| dc.date.accessioned | 2023-01-29T18:05:16Z | |
| dc.date.available | 2023-01-29T18:05:16Z | |
| dc.date.issued | 2023-01-23 | |
| dc.format.extent | 51 | |
| dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/119370 | |
| dc.identifier.urn | URN:NBN:fi:aalto-202301291720 | |
| dc.language.iso | en | en |
| dc.programme | Master's Programme in ICT Innovation | fi |
| dc.programme.major | Data Science | fi |
| dc.programme.mcode | SCI3115 | fi |
| dc.subject.keyword | anomaly detection | en |
| dc.subject.keyword | long short-term memory | en |
| dc.subject.keyword | machine learning | en |
| dc.subject.keyword | log analysis | en |
| dc.title | Anomaly Detection in Application Logs | 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 |