Assessing the Influence of Spatio-Temporal Context for Next Place Prediction using Different Machine Learning Approaches

Assessing the Influence of Spatio-Temporal Context for Next Place Prediction using Different Machine Learning Approaches

For next place prediction, machine learning methods which incorporate contextual data are frequently used. However, previous studies often do not allow deriving generalizable methodological recommendations, since they use different datasets, methods for discretizing space, scales of prediction, pred...

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Bibliographic Details
Main Authors: Jorim Urner, Dominik Bucher, Jing Yang, David Jonietz
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:ISPRS International Journal of Geo-Information
Subjects:
next place prediction
trajectories
neural networks
context
Online Access:http://www.mdpi.com/2220-9964/7/5/166

Internet

http://www.mdpi.com/2220-9964/7/5/166

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