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Scalable and flexible clustering solutions for mobile phone-based population indicators.

, , , , , , and . Int. J. Data Sci. Anal., 4 (4): 285-299 (2017)

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Recognizing Residents and Tourists with Retail Data Using Shopping Profiles., and . GOODTECHS, volume 233 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 353-363. Springer, (2017)PRIMULE: Privacy risk mitigation for user profiles., , , , and . Data Knowl. Eng., (2020)Identifying users profiles from mobile calls habits., , , and . UrbComp@KDD, page 17-24. ACM, (2012)Predicting Vehicles Parking Behaviour for EV Recharge Optimization., , , and . SEBD, volume 3194 of CEUR Workshop Proceedings, page 199-206. CEUR-WS.org, (2022)Big data analytics for smart mobility: a case study., , , , and . EDBT/ICDT Workshops, volume 1133 of CEUR Workshop Proceedings, page 363-364. CEUR-WS.org, (2014)The purpose of motion: Learning activities from Individual Mobility Networks., , , , , and . DSAA, page 312-318. IEEE, (2014)Use of Mobile Phone Data to Estimate Visitors Mobility Flows., , , , and . SEFM Workshops, volume 8938 of Lecture Notes in Computer Science, page 214-226. Springer, (2014)Analysis of GSM calls data for understanding user mobility behavior., , , and . IEEE BigData, page 550-555. IEEE Computer Society, (2013)Understanding Human Mobility with Big Data., , , and . Solving Large Scale Learning Tasks, volume 9580 of Lecture Notes in Computer Science, page 208-220. Springer, (2016)Estimating countries' peace index through the lens of the world news as monitored by GDELT., , , , and . DSAA, page 216-225. IEEE, (2020)