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User identification from mobility traces
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User identification from mobility traces (2018)User identification from mobility tracesDaily Routines Inference Based on Location History (2017)Daily Routines Inference Base…Simulating human mobility patterns in urban areas (2016)Simulating human mobility pat…Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)Predicting the Next Location:…Big Data Driven Hidden Markov Model Based Individual Mobility Prediction at Points of Interest (2016)Big Data Driven Hidden Markov…Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Activity-Based Human Mobility…A probabilistic kernel method for human mobility prediction with smartphones (2014)A probabilistic kernel method…Mining GPS data for mobility patterns: A survey (2013)Mining GPS data for mobility …Approaching the Limit of Predictability in Human Mobility (2013)Approaching the Limit of Pred…Next place prediction using mobility Markov chains (2012)Next place prediction using m…GeoLife2.0: A Location-Based Social Networking Service (2009)GeoLife2.0: A Location-Based …Understanding individual human mobility patterns (2008)Understanding individual huma…III. Recherches sur les principaux problemes de l'astronomie nautique (1797)III. Recherches sur les princ…Predestination: Inferring Destinations from Partial Trajectories (2006)Understanding mobility based on GPS data (2008)Limits of Predictability in Human Mobility (2010)Understanding Human Mobility from Twitter (2015)DeepMove (2018)The origin of bursts and heavy tails in human dynamics (2005)Modeling bursts and heavy tails in human dynamics (2006)The scaling laws of human travel (2006)Computational Social Science (2009)Reality mining: sensing complex social systems (2005)Measuring Large-Scale Social Networks with High Resolution (2014)Inferring transportation modes from GPS trajectories using a convolutional neural network (2017)Analyzing large-scale human mobility data: a survey of machine learning methods and applications (2018)Learning transportation mode from raw gps data for geographic applications on the web (2008)Driving with knowledge from the physical world (2011)Location-Based Social Networks: Users (2011)Urban Computing (2014)Using GPS to learn significant locations and predict movement across multiple users (2003)A new procedure using network analysis and kernel density estimations to evaluate the effect of urban configurations on pedestrian mobility. The case study of Vitoria –Gasteiz (2018)How Big Data Fast Tracked Human Mobility Research and the Lessons for Animal Movement Ecology (2018)Urban flow prediction from spatiotemporal data using machine learning: A survey (2020)A universal model for mobility and migration patterns (2012)Urban human activity density spatiotemporal variations and the relationship with geographical factors: An exploratory Baidu heatmaps‐based analysis of Wuhan, China (2019)Identification method and empirical study of urban industrial spatial relationship based on POI big data: a case of Shenyang City, China (2020)Exploring built environment factors on e-bike travel behavior in urban China: A case study of Jinan (2022)Identifying Important Places in People’s Lives from Cellular Network Data (2011)A Survey on Machine Learning‐Based Mobile Big Data Analysis: Challenges and Applications (2018)Revealing latent characteristics of mobility networks with coarse-graining (2019)Big Data in Forecasting Research: A Literature Review (2021)Friendship and mobility (2011)You Are Where You Go (2015)A Survey on Deep Learning for Human Mobility (2021)Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network (2021)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Travel and the Built Environment (2010)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)A survey of data fusion in smart city applications (2019)Measuring inequality in community resilience to natural disasters using large-scale mobility data (2021)Dynamic population mapping using mobile phone data (2014)Big Data for Development: A Review of Promises and Challenges (2015)Human mobility: Models and applications (2018)
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References

  • 2008Understanding individual human mobility patterns6,185 cited
  • 2016Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts1,023 cited
  • 2012Next place prediction using mobility Markov chains560 cited
  • 2016Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore483 cited
  • 2013Approaching the Limit of Predictability in Human Mobility392 cited
  • 2009GeoLife2.0: A Location-Based Social Networking Service194 cited
  • 2013Mining GPS data for mobility patterns: A survey159 cited
  • 2016Big Data Driven Hidden Markov Model Based Individual Mobility Prediction at Points of Interest145 cited
  • 2014A probabilistic kernel method for human mobility prediction with smartphones66 cited
  • 2016Simulating human mobility patterns in urban areas53 cited
  • 1797III. Recherches sur les principaux problemes de l'astronomie nautique6 cited
  • 2017Daily Routines Inference Based on Location History4 cited

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