dc.contributor.author | Mathisen, Bjørn Magnus | |
dc.contributor.author | Aamodt, Agnar | |
dc.contributor.author | Langseth, Helge | |
dc.date.accessioned | 2018-04-06T07:17:40Z | |
dc.date.available | 2018-04-06T07:17:40Z | |
dc.date.created | 2017-11-29T13:46:53Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 1613-0073 | |
dc.identifier.uri | http://hdl.handle.net/11250/2492956 | |
dc.description.abstract | It is a common situation to have lots of recorded data that you want to use for improving a process in your organization or make use of this data to provide new services or products. Starting with one primary data set we describe a system that enhances this data set to a level such that it can be used by a deep learning system. This deep learning system then creates a model based on this data set, trying to predict operational windows for marine operations. Using this model the system extracts cases for use in a CBR-system aimed at providing operational support. This paper describes the partial implementation and results of this system. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | CEUR Workshop Proceedings | nb_NO |
dc.relation.uri | https://www.idi.ntnu.no/~bjornmm/iccbr2017-ws.pdf | |
dc.subject | Maskinlæring | nb_NO |
dc.subject | Machine learning | nb_NO |
dc.subject | Kunstig intelligens | nb_NO |
dc.subject | Artificial intelligence | nb_NO |
dc.title | Data driven case base construction for prediction of success of marine operations | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.subject.nsi | VDP::Datateknologi: 551 | nb_NO |
dc.subject.nsi | VDP::Computer technology: 551 | nb_NO |
dc.source.journal | CEUR Workshop Proceedings | nb_NO |
dc.identifier.cristin | 1520274 | |
dc.relation.project | Norges forskningsråd: 237790 | nb_NO |
dc.description.localcode | Published by CEUR Workshop Proceedings. Open Access. Final version here: http://ceur-ws.org/Vol-2028/ | nb_NO |
cristin.unitcode | 194,63,10,0 | |
cristin.unitname | Institutt for datateknologi og informatikk | |
cristin.ispublished | true | |
cristin.fulltext | preprint | |
cristin.qualitycode | 1 | |