Human mobility semantics analysis: a probabilistic and scalable approach
Author:
Funder
Ministry of Science and Technology of the People's Republic of China
Publisher
Springer Science and Business Media LLC
Subject
Geography, Planning and Development,Information Systems
Link
http://link.springer.com/article/10.1007/s10707-017-0295-0/fulltext.html
Reference76 articles.
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3. Asahara A, Maruyama K, Sato A, Seto K (2011) Pedestrian-movement prediction based on mixed markov-chain model. In: Proceedings of the 19th ACM SIGSPATIAL international conference on advances in geographic information systems. ACM, pp 25–33
4. Assam R, Seidl T (2014) Context-based location clustering and prediction using conditional random fields. In: Proceedings of the 13th international conference on mobile and ubiquitous multimedia. ACM, pp 1–10
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