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Learning Latent Factor Models of Travel Data for Travel Prediction and Analysis · Study

WorkLearning Latent Factor Models of Travel Data for Travel Prediction and Analysis

Michael Guerzhoy2014

Work2014

Learning Latent Factor Models of Travel Data for Travel Prediction and Analysis

Michael Guerzhoy · Aaron Hertzmann

6 citations·0/0 files stored·Lecture notes in computer science

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Human Mobility and Location-Based Analysis Data Management and Algorithms Traffic Prediction and Management Techniques

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References

2008Understanding individual human mobility patterns 2011Friendship and mobility 2005Reality mining: sensing complex social systems 2006The scaling laws of human travel 2012Discovering regions of different functions in a city using human mobility and POIs 2003Inferring High-Level Behavior from Low-Level Sensors 2011Estimating Origin-Destination Flows Using Mobile Phone Location Data 2008Digital Footprinting: Uncovering Tourists with User-Generated Content

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2012Learning Latent Factor Models of Human Travelarticle · 14 shared references 2013From taxi GPS traces to social and community dynamicsarticle · 5 shared references 2018Analyzing large-scale human mobility data: a survey of machine learning methods and applicationsarticle · 5 shared references 2015Exploring the potential of phone call data to characterize the relationship between social network and travel behaviorarticle · 5 shared references 2013On the importance of temporal dynamics in modeling urban activityother · 5 shared references 201317 From Taxi GPS Traces to Social and Community Dynamics: A Surveyarticle · 5 shared references

Details

Year2014

Typeother

Published2014-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations6

Files0 public / 0

ShelfHuman Mobility and Location-Based Analysis

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doi10.1007/978-3-319-06483-3_12

openalex_workW152334543

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