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ArticleA probabilistic approach to mining mobile phone data sequences

Katayoun Farrahi2013

OA

Articlegreen2013

A probabilistic approach to mining mobile phone data sequences

Katayoun Farrahi · Daniel Gática-Pérez

35 citations·0/0 files stored·Personal and Ubiquitous Computing

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Human Mobility and Location-Based Analysis Topic Modeling Data Management and Algorithms

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References

2008Understanding individual human mobility patterns 2003Using GPS to learn significant locations and predict movement across multiple users 2008Uncovering individual and collective human dynamics from mobile phone records 2003Inferring High-Level Behavior from Low-Level Sensors 2009Eigenbehaviors: identifying structure in routine 2009Eigenbehaviors: identifying structure in routine 2010Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data 2010Towards rich mobile phone datasets: Lausanne data collection campaign

Cited by

2016A Probabilistic Lifestyle-Based Trajectory Model for Social Strength Inference from Human Trajectory Data 2021Group travel behavior in metro system and its relationship with house price 2015Empirical Big Data Research: A Systematic Literature Mapping 2021From GPS to semantic data: how and why—a framework for enriching smartphone trajectories

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Details

Year2013

Typearticle

Published2013-02-19

VenuePersonal and Ubiquitous Computing

ISSN-L1617-4909

Languageen

Citations35

Files0 public / 0

ShelfHuman Mobility and Location-Based Analysis

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doi10.1007/s00779-013-0640-8

openalex_workW2111046157

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