Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/13571| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Stevanoski, Bozhidar | en_US |
| dc.contributor.author | Kocev, Dragi | en_US |
| dc.contributor.author | Osojnik, Aljaž | en_US |
| dc.contributor.author | Dimitrovski, Ivica | en_US |
| dc.contributor.author | Džeroski, Sašo | en_US |
| dc.date.accessioned | 2021-06-15T10:50:53Z | - |
| dc.date.available | 2021-06-15T10:50:53Z | - |
| dc.date.issued | 2019 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.12188/13571 | - |
| dc.publisher | Springer International Publishing | en_US |
| dc.title | Predicting Thermal Power Consumption of the Mars Express Satellite with Data Stream Mining | en_US |
| dc.relation.conference | Discovery Science | en_US |
| dc.identifier.doi | 10.1007/978-3-030-33778-0_16 | - |
| dc.identifier.url | http://link.springer.com/content/pdf/10.1007/978-3-030-33778-0_16 | - |
| item.grantfulltext | none | - |
| item.fulltext | No Fulltext | - |
| crisitem.author.dept | Faculty of Computer Science and Engineering | - |
| Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers | |
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