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n-Gram Geo-trace Modeling
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n-Gram Geo-trace Modeling (2011)n-Gram Geo-trace ModelingData fusion (2009)Data fusionUnderstanding individual human mobility patterns (2008)Understanding individual huma…Predestination: Inferring Destinations from Partial Trajectories (2006)Predestination: Inferring Des…Using GPS to learn significant locations and predict movement across multiple users (2003)Using GPS to learn significan…DeepAGS: Deep learning with activity, geography and sequential information in predicting an individual's next trip destination (2024)DeepAGS: Deep learning with a…Zero Trust Architecture (ZTA): A Comprehensive Survey (2022)Zero Trust Architecture (ZTA)…Discovering Latent Semantic Structure in Human Mobility Traces (2015)Discovering Latent Semantic S…The Routineness of Routines: Measuring Rhythms of Media Interaction (2013)The Routineness of Routines: …PnLUM : System for Prediction of Next Location for Users with Mobility (2012)PnLUM : System for Prediction…Towards Accountable Mobility Model: A Language Approach on User Behavior Modeling in Office WLAN (2011)Towards Accountable Mobility …Reality mining: sensing complex social systems (2005)Limits of Predictability in Human Mobility (2010)The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)The Museum Wearable: real-time sensor-driven understanding of visitors' interests for personalized visually-augmented museum experiences (2002)Understanding mobility based on GPS data (2008)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research (1988)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)Summary of Travel Trends 2001 National Household Travel Survey (2005)Learning and inferring transportation routines (2007)Mining Individual Life Pattern Based on Location History (2009)Travel route recommendation using geotags in photo sharing sites (2010)NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems (2011)Inferring High-Level Behavior from Low-Level Sensors (2003)A next location prediction method for smartphones using blockmodels (2013)User location prediction with energy efficiency model in the Long Term‐Evolution network (2015)Guide to Attribute Based Access Control (ABAC) Definition and Considerations (2014)Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches (2019)Zero Trust Architecture (2020)Next place prediction using mobility Markov chains (2012)Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)DeepMove (2018)Big Data Integration (2013)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda (2021)
this work references cited by second hop

References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2009Data fusion1,848 cited
  • 2003Using GPS to learn significant locations and predict movement across multiple users1,060 cited
  • 2006Predestination: Inferring Destinations from Partial Trajectories464 cited

Cited by

  • 2022Zero Trust Architecture (ZTA): A Comprehensive Survey401 cited
  • 2012PnLUM : System for Prediction of Next Location for Users with Mobility29 cited
  • 2013The Routineness of Routines: Measuring Rhythms of Media Interaction12 cited
  • 2015Discovering Latent Semantic Structure in Human Mobility Traces10 cited
  • 2024DeepAGS: Deep learning with activity, geography and sequential information in predicting an individual's next trip destination7 cited
  • 2011Towards Accountable Mobility Model: A Language Approach on User Behavior Modeling in Office WLAN5 cited

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