NextAct-Reference-Cited by-同舟云学术

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NextAct

Published:2019-11-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
language:
Short-container-title:

Author:

Meurisch Christian¹,Gogel Artur¹,Bayrak Bekir¹,Mühlhäuser Max¹

Affiliation:

1. TU Darmstadt, Germany

Funder

German Federal Ministry of Education and Research (BMBF)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3360774.3360821

Reference55 articles.

1. Using GPS to learn significant locations and predict movement across multiple users

2. Paul Baumann Wilhelm Kleiminger and Silvia Santini. 2013. How Long Are You Staying?: Predicting Residence Time from Human Mobility Traces. In MobiCom'13. ACM 231--234. Paul Baumann Wilhelm Kleiminger and Silvia Santini. 2013. How Long Are You Staying?: Predicting Residence Time from Human Mobility Traces. In MobiCom'13. ACM 231--234.

3. Paul Baumann Wilhelm Kleiminger and Silvia Santini. 2013. The Influence of Temporal and Spatial Features on the Performance of Next-place Prediction Algorithms. In UbiComp'13. ACM 449--458. Paul Baumann Wilhelm Kleiminger and Silvia Santini. 2013. The Influence of Temporal and Spatial Features on the Performance of Next-place Prediction Algorithms. In UbiComp'13. ACM 449--458.

4. Christopher M Bishop etal 2006. Pattern Recognition and Machine Learning. Vol. 4. Springer New York. Christopher M Bishop et al. 2006. Pattern Recognition and Machine Learning. Vol. 4. Springer New York.

5. A survey on predicting personal mobility

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