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Measuring Ambient Population from Location-Based Social Networks to Describe Urban Crime.

, , and . SocInfo (1), volume 10539 of Lecture Notes in Computer Science, page 521-535. Springer, (2017)

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Measuring Ambient Population from Location-Based Social Networks to Describe Urban Crime., , and . SocInfo (1), volume 10539 of Lecture Notes in Computer Science, page 521-535. Springer, (2017)Towards Simulating Criminal Offender Movement Based on Insights from Human Dynamics and Location-Based Social Networks., , , and . SocInfo (2), volume 10540 of Lecture Notes in Computer Science, page 458-465. Springer, (2017)Mining large-scale human mobility data for long-term crime prediction., and . EPJ Data Sci., 7 (1): 26 (2018)Design of a Small and Medium Enterprise Growth Prediction Model Based on Web Mining., and . ICWE, volume 10360 of Lecture Notes in Computer Science, page 600-607. Springer, (2017)Design of a Health Information System Enhancing the Performance of Obesity Expert and children Teams., , , , , , , , , and 1 other author(s). ECIS, (2014)Design of an agent-based model to predict crime (WIP)., , and . SummerSim, page 55. Society for Computer Simulation International / ACM DL, (2016)Towards a crowdsourcing approach for crime prevention., , , and . UbiComp/ISWC Adjunct, page 1367-1372. ACM, (2015)Towards a Burglary Risk Profiler Using Demographic and Spatial Factors., , , and . WISE (1), volume 9418 of Lecture Notes in Computer Science, page 586-600. Springer, (2015)Human versus Technology: Comparing the effect of Private Security patrol and Crime Prevention Information System over the Crime Level and Safety perception., , , and . ECIS, page Research-in-Progress Paper 48. (2016)Digital Neighborhood Watch: To Share or Not to Share?, , , and . CHI Extended Abstracts, page 2148-2155. ACM, (2016)