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The Mobile Data Challenge: Big Data for Mobile Computing Research

Juha K. Laurila · Daniel Gática-Pérez · Imad Aad · Jan Blom · Trinh Minh Tri · Olivier Dousse +2 more

429 citations0/0 files storedTUbilio (Technical University of Darmstadt)

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Human Mobility and Location-Based Analysis Privacy-Preserving Technologies in Data Mobile Crowdsensing and Crowdsourcing

Abstract

This paper presents an overview of the Mobile Data Challenge (MDC), a large-scale research initiative aimed at generating innovations around smartphone-based research, as well as community-based evaluation of related mobile data analysis methodologies. First we review the Lausanne Data Collection Campaign (LDCC) an initiative to collect unique, longitudinal smartphone data set for the basis of the MDC. Then, we introduce the Open and Dedicated Tracks of the MDC; describe the specific data sets used in each of them; and discuss some of the key aspects in order to generate privacy-respecting, challenging, and scientifically relevant mobile data resources for wider use of the research community. The concluding remarks will summarize the paper.

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References

2008Understanding individual human mobility patterns 2009Inferring friendship network structure by using mobile phone data 2010Find me if you can 2011Identifying Important Places in People’s Lives from Cellular Network Data

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