Discovering ship navigation patterns towards environmental impact modeling

Document typeConference report
Defense date2017-05-04
PublisherBarcelona Supercomputing Center
Rights accessOpen Access
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Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
In this work a data pipe-line to manage and extract patterns from time-series is described. The patterns found with a combination of Conditional Restricted Boltzmann Machine (CRBM) and k-Means algorithms are then validated using a visualization tool. The motivation of finding these patterns is to leverage future emission model.
CitationGutiérrez, A.; Buchaca, D.; Berral García, J. L. Discovering ship navigation patterns towards environmental impact modeling. A: BSC Severo Ochoa International Doctoral Symposium (4th: 2017: Barcelona). "Book of abstracts". Barcelona: Barcelona Supercomputing Center, 2017, p. 34-35.
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