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Understanding tourist behavior using large-scale mobile sensing approach: A case study of mobile phone users in Japan.

, , , , , and . Pervasive Mob. Comput., (2015)

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Constructing Time-Dependent Origin-Destination Matrices With Adaptive Zoning Scheme and Measuring Their Similarities With Taxi Trajectory Data., , , , , , and . IEEE Access, (2019)Inferring origin-destination flows using mobile phone data: A case study of Senegal, , , , and . International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), page 1--6. IEEE, (2016)Inferring Passenger Travel Demand to Improve Urban Mobility in Developing Countries Using Cell Phone Data: A Case Study of Senegal., , , , , and . IEEE Trans. Intell. Transp. Syst., 17 (9): 2466-2478 (2016)Visualizing mobile phone usage for exploratory analysis: a case study of portugal., , , and . UbiComp Adjunct, page 1358-1362. ACM, (2016)Tweets of the nation: tool for visualizing and analyzing global tweets., , and . UbiComp Adjunct, page 1349-1357. ACM, (2016)Inferring Commuting Flows Using CDR Data: A Case Study of Lisbon, Portugal., , , , and . UbiComp/ISWC Adjunct, page 1041-1050. ACM, (2018)CPL: Enhancing Mobile Phone Functionality by Call Predicted List., and . OTM Workshops, volume 5333 of Lecture Notes in Computer Science, page 571-581. Springer, (2008)Inferring Social Groups Using Call Logs., and . OTM Workshops, volume 5333 of Lecture Notes in Computer Science, page 200-210. Springer, (2008)Resembling Population Density Distribution with Massive Mobile Phone Data., , and . Data Sci. J., (2018)Quantifying presence using calling patterns., , , and . COMSWARE, page 184-187. IEEE, (2008)