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dc.contributor.editorTserpes, Konstantinos
dc.contributor.editorRenso, Chiara
dc.contributor.editorMatwin, Stan
dc.date.accessioned2025-03-08T10:56:17Z
dc.date.available2025-03-08T10:56:17Z
dc.date.issued2020
dc.date.submitted2020-03-18 13:36:15
dc.date.submitted2020-04-01T09:11:21Z
dc.identifier1006836
dc.identifierhttp://library.oapen.org/handle/20.500.12657/23319
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/195827
dc.description.abstractThis open access book constitutes the refereed post-conference proceedings of the First International Workshop on Multiple-Aspect Analysis of Semantic Trajectories, MASTER 2019, held in conjunction with the 19th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, in Würzburg, Germany, in September 2019. The 8 full papers presented were carefully reviewed and selected from 12 submissions. They represent an interesting mix of techniques to solve recurrent as well as new problems in the semantic trajectory domain, such as data representation models, data management systems, machine learning approaches for anomaly detection, and common pathways identification.
dc.languageEnglish
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.rightsopen access
dc.subject.otherComputer science
dc.subject.otherMachine learning
dc.subject.otherApplication software
dc.subject.otherOptical data processing
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UY Computer science::UYT Image processing
dc.titleMultiple-Aspect Analysis of Semantic Trajectories
dc.title.alternativeFirst International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Proceedings
dc.typebook
oapen.identifier.doi10.1007/978-3-030-38081-6
oapen.relation.isPublishedBy9fa3421d-f917-4153-b9ab-fc337c396b5a
oapen.pages133


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