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 …

Telecom churn prediction and used techniques, datasets and performance measures: a review

H Jain, A Khunteta, S Srivastava - Telecommunication Systems, 2021 - Springer
Customer churn prediction in telecommunication industry is a very essential factor to be
achieved and it makes direct impact to customer retention and its revenues. Developing a …

Estimating human trajectories and hotspots through mobile phone data

S Hoteit, S Secci, S Sobolevsky, C Ratti, G Pujolle - Computer Networks, 2014 - Elsevier
Nowadays, the huge worldwide mobile-phone penetration is increasingly turning the mobile
network into a gigantic ubiquitous sensing platform, enabling large-scale analysis and …

[PDF][PDF] A hybrid churn prediction model in mobile telecommunication industry

GDO Olle, S Cai - International Journal of e-Education, e-Business, e …, 2014 - ijeeee.org
In most industries where switching costs are prevalent, the landscape of activities is painted
of Customers attrition or churn (Clients who want to switch or change their suppliers for …

Performance analysis of mobile broadband networks with 5g trends and beyond: Urban areas scope in malaysia

I Shayea, MH Azmi, M Ergen, AA El-Saleh… - IEEE …, 2021 - ieeexplore.ieee.org
The performance of Mobile Broadband (MBB) services of Fourth Generation (4G) and Third
Generation (3G) mobile networks over urban morphology is studied in Malaysia based on …

Inter-call mobility model: A spatio-temporal refinement of call data records using a Gaussian mixture model

M Ficek, L Kencl - 2012 Proceedings IEEE INFOCOM, 2012 - ieeexplore.ieee.org
With global mobile phone penetration nearing 100%, cellular Call Data Records (CDRs)
provide a large-scale and ubiquitous, but also sparse and skewed snapshot of human …

Estimating real human trajectories through mobile phone data

S Hoteit, S Secci, S Sobolevsky… - 2013 IEEE 14th …, 2013 - ieeexplore.ieee.org
Nowadays, the huge worldwide mobile-phone penetration is increasingly turning the mobile
network into a gigantic ubiquitous sensing platform, enabling large-scale analysis and …

Small circles: Mobile telephony and the cultivation of the private sphere

R Ling, J Bjelland, PR Sundsøy… - The Information …, 2014 - Taylor & Francis
This article examines how we use mobile telephony to maintain our physically and socially
closest social circle. The analysis is based on traffic data gathered from Norway using …

[PDF][PDF] Predicting next network cell IDs for moving users with Discriminative and Generative Models

S Michaelis, N Piatkowski, K Morik - … of the Mobile Data Challenge by Nokia …, 2012 - idiap.ch
In mobile networks, moving users generate trails of traversed cells. For the network, this
leads to a constant shift in data traffic loads when users with active connections switch from …

Content consumption cartography of the paris urban region using cellular probe data

S Hoteit, S Secci, Z He, C Ziemlicki, Z Smoreda… - Proceedings of the first …, 2012 - dl.acm.org
A present issue in the evolution of mobile cellular networks is determining whether, how and
where to deploy adaptive content and cloud distribution solutions at base station and back …