Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11889)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: MASTER 2019.
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Table of contents (9 papers)
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Front Matter
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Back Matter
Other volumes
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Multiple-Aspect Analysis of Semantic Trajectories
Keywords
- Open Access
- artificial intelligence
- communication systems
- computer vision
- correlation analysis
- data analytics
- data communication systems
- data management systems
- data mining
- databases
- information retrieval
- information technology
- machine learning
- semantics
- signal processing
- spatial-temporal systems
- telecommunication networks
- telecommunication systems
- wireless telecommunication systems
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Multiple-Aspect Analysis of Semantic Trajectories
Book Subtitle: First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Proceedings
Editors: Konstantinos Tserpes, Chiara Renso, Stan Matwin
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-38081-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2020
Softcover ISBN: 978-3-030-38080-9Published: 04 January 2020
eBook ISBN: 978-3-030-38081-6Published: 03 January 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 133
Number of Illustrations: 46 b/w illustrations, 47 illustrations in colour
Topics: Machine Learning, Computer Applications, Image Processing and Computer Vision