Multiple-Aspect Analysis of Semantic Trajectories

This 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...

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Aineistotyyppi: Online
Kieli:englanti
Julkaistu: Springer Nature 2021
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collection Directory of Open Access Books
description This 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.
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institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
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publisherStr Springer Nature
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spelling doab-20.500.12854ir-387402025-03-24T00:47:42Z Multiple-Aspect Analysis of Semantic Trajectories Tserpes, Konstantinos Renso, Chiara Matwin, Stan Computer science Machine learning Application software Optical data processing thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::U Computing and Information Technology::UY Computer science::UYT Image processing This 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. 2021-02-10T14:58:13Z 2021-02-10T14:58:13Z 2020-03-18 13:36:15 2020-04-01T09:11:21Z 2020 book 1006836 OCN: 1137158171 http://library.oapen.org/handle/20.500.12657/23319 https://directory.doabooks.org/handle/20.500.12854/38740 eng Lecture Notes in Computer Science open access image/jpeg image/jpeg image/jpeg n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/23319/1/1006836.pdf https://library.oapen.org/bitstream/20.500.12657/23319/1/1006836.pdf https://library.oapen.org/bitstream/20.500.12657/23319/1/1006836.pdf Springer Nature 10.1007/978-3-030-38081-6 10.1007/978-3-030-38081-6 9fa3421d-f917-4153-b9ab-fc337c396b5a 133 open access
spellingShingle Computer science
Machine learning
Application software
Optical data processing
thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYT Image processing
Multiple-Aspect Analysis of Semantic Trajectories
title Multiple-Aspect Analysis of Semantic Trajectories
title_full Multiple-Aspect Analysis of Semantic Trajectories
title_fullStr Multiple-Aspect Analysis of Semantic Trajectories
title_full_unstemmed Multiple-Aspect Analysis of Semantic Trajectories
title_short Multiple-Aspect Analysis of Semantic Trajectories
title_sort multiple aspect analysis of semantic trajectories
topic Computer science
Machine learning
Application software
Optical data processing
thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYT Image processing
topic_facet Computer science
Machine learning
Application software
Optical data processing
thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYT Image processing
url 1006836