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Data driven case base construction for prediction of success of marine operations

Mathisen, Bjørn Magnus; Aamodt, Agnar; Langseth, Helge
Journal article, Peer reviewed
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URI
http://hdl.handle.net/11250/2492956
Date
2017
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  • Institutt for datateknologi og informatikk [7453]
  • Publikasjoner fra CRIStin - NTNU [41957]
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.
Publisher
CEUR Workshop Proceedings
Journal
CEUR Workshop Proceedings

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