Large-scale mobile traffic analysis: a survey
D Naboulsi, M Fiore, S Ribot… - … Surveys & Tutorials, 2015 - ieeexplore.ieee.org
This article surveys the literature on analyses of mobile traffic collected by operators within
their network infrastructure. This is a recently emerged research field, and, apart from a few …
their network infrastructure. This is a recently emerged research field, and, apart from a few …
A survey on smartphone-based systems for opportunistic user context recognition
SA Hoseini-Tabatabaei, A Gluhak… - ACM Computing Surveys …, 2013 - dl.acm.org
The ever-growing computation and storage capability of mobile phones have given rise to
mobile-centric context recognition systems, which are able to sense and analyze the context …
mobile-centric context recognition systems, which are able to sense and analyze the context …
Auditing the fairness of place-based crime prediction models implemented with deep learning approaches
Place-based crime prediction models implemented with deep learning leverage the spatio-
temporal patterns of historical crimes, together with built-environment factors, to predict …
temporal patterns of historical crimes, together with built-environment factors, to predict …
Moving and calling: Mobile phone data quality measurements and spatiotemporal uncertainty in human mobility studies
In the past few years, mobile network data are considered as a useful complementary
source of information for human mobility research. Mobile phone datasets contain massive …
source of information for human mobility research. Mobile phone datasets contain massive …
Analysis of performance improvements and bias associated with the use of human mobility data in covid-19 case prediction models
The COVID-19 pandemic has mainstreamed human mobility data into the public domain,
with research focused on understanding the impact of mobility reduction policies as well as …
with research focused on understanding the impact of mobility reduction policies as well as …
Characterizing dense urban areas from mobile phone-call data: Discovery and social dynamics
The recent adoption of ubiquitous computing technologies (eg GPS, WLAN networks) has
enabled capturing large amounts of spatio-temporal data about human motion. The digital …
enabled capturing large amounts of spatio-temporal data about human motion. The digital …
Topic models to infer socio-economic maps
L Hong, E Frias-Martinez… - Proceedings of the AAAI …, 2016 - ojs.aaai.org
Socio-economic maps contain important information regarding the population of a country.
Computing these maps is critical given that policy makers often times make important …
Computing these maps is critical given that policy makers often times make important …
CiNCT: Compression and retrieval for massive vehicular trajectories via relative movement labeling
In this paper, we present a compressed data structure for moving object trajectories in a road
network, which are represented as sequences of road edges. Unlike existing compression …
network, which are represented as sequences of road edges. Unlike existing compression …
Inferring human mobility patterns from anonymized mobile communication usage
Anonymized Call Detail Records (CDRs) contain positional information of large populations
and therefore have been extensively analyzed to understand human mobility. Due to the …
and therefore have been extensively analyzed to understand human mobility. Due to the …