Design principles of a stream-based framework for mobility analysis-Reference-Cited by-同舟云学术

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Design principles of a stream-based framework for mobility analysis

Published:2016-04-25 Issue:2 Volume:21 Page:237-261
ISSN:1384-6175
Container-title:GeoInformatica
language:en
Short-container-title:Geoinformatica

Author:

Salmon Loic,Ray Cyril

Publisher

Springer Science and Business Media LLC

Subject

Geography, Planning and Development,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s10707-016-0256-z.pdf

Reference97 articles.

1. Pallotta G, Vespe M, Bryan K (2013) Vessel pattern knowledge discovery from AIS data: a framework for anomaly detection and route prediction. Entropy 15(6):2218–2245

2. Giannotti F, Nanni M, Pedreschi D, Pinelli F, Renso C, Rinzivillo S, Trasarti R (2011) Unveiling the complexity of human mobility by querying and mining massive trajectory data. VLDB J 20(5):695–719

3. Shekhar S, Gunturi V, Evans MR et al. (2012) Spatial big-data challenges intersect- ing mobility and cloud computing. Proc Eleventh ACM Int Workshop Data Eng Wireless Mobile Access, MobiDE ’12, 1–6, New York, NY, USA. ACM

4. Anselin L (1989) What is special about spatial data? alternative perspectives on spatial data analysis 63–77

5. Vatsavai RR, Ganguly A, Chandola V et al. (2012) Spatiotemporal data mining in the era of big spatial data: algorithms and applications. Proc 1st ACM SIGSPATIAL Int Workshop Anal Big Geospatial Data, BigSpatial ’12, 1-10, New York, NY, USA. ACM

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