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Generating the Users Geographic Map Using Mobile Phone Data · Study

WorkGenerating the Users Geographic Map Using Mobile Phone Data

Cláudia Rodrigues2022

Work2022

Generating the Users Geographic Map Using Mobile Phone Data

Cláudia Rodrigues · Marco Veloso · Ana Alves · Gonçalo Ferreira · Carlos L. Bento

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

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Human Mobility and Location-Based Analysis Privacy-Preserving Technologies in Data Data Management and Algorithms

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References

2008Understanding individual human mobility patterns 2011Identifying Important Places in People’s Lives from Cellular Network Data 2013Approaching the Limit of Predictability in Human Mobility 2012Are call detail records biased for sampling human mobility?2017How friends share urban space: An exploratory spatiotemporal analysis using mobile phone data 2014Identifying Significant Places Using Multi-day Call Detail Records 2017Extracting regular mobility patterns from sparse CDR data without a priori assumptions 2016Automatic identification of relevant places from cellular network data

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2017Extracting regular mobility patterns from sparse CDR data without a priori assumptionsarticle · 4 shared references 2018Takeaways in Large-scale Human Mobility Data Mining : (Invited Paper)other · 4 shared references 2019Behavior Revealed in Mobile Phone Usage Predicts Credit Repaymentarticle · 3 shared references 2015Behavior Revealed in Mobile Phone Usage Predicts Loan Repaymentpreprint · 3 shared references 2016Understanding Spatiotemporal Patterns of Human Convergence and Divergence Using Mobile Phone Location Dataarticle · 3 shared references 2014User mobility from the view of cellular data networksother · 3 shared references

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Year2022

Typeother

Published2022-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations4

Files0 public / 0

ShelfHuman Mobility and Location-Based Analysis

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doi10.1007/978-3-031-16474-3_25

openalex_workW4297811652

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