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Multiple-Aspect Analysis of Semantic Trajectories

- First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Wurzburg, Germany, September 16, 2019, Proceedings

Bag om 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 2019, in W├╝rzburg, 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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783030380809
  • Indbinding:
  • Paperback
  • Sideantal:
  • 133
  • Udgivet:
  • 4. januar 2020
  • Udgave:
  • 12020
  • Størrelse:
  • 155x235x0 mm.
  • Vægt:
  • 454 g.
  • BLACK WEEK
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Leveringstid: 8-11 hverdage
Forventet levering: 13. december 2024
Forlænget returret til d. 31. januar 2025

Beskrivelse af 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 2019, in W├╝rzburg, 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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