Outlier detection: Methods, models, and classification

A Boukerche, L Zheng, O Alfandi - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Over the past decade, we have witnessed an enormous amount of research effort dedicated
to the design of efficient outlier detection techniques while taking into consideration …

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 …

[PDF][PDF] Urban magnetism through the lens of geo-tagged photography

S Paldino, I Bojic, S Sobolevsky, C Ratti… - EPJ Data Science, 2015 - Springer
There is an increasing trend of people leaving digital traces through social media. This
reality opens new horizons for urban studies. With this kind of data, researchers and urban …

Clustering weekly patterns of human mobility through mobile phone data

E Thuillier, L Moalic, S Lamrous… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
With the rapid growth of cell phone networks during the last decades, call detail records
(CDR) have been used as approximate indicators for large scale studies on human and …

Comparison of the spatiotemporal mobility patterns among typical subgroups of the actual population with mobile phone data: A case study of Bei**g

Y Wu, L Wang, L Fan, M Yang, Y Zhang, Y Feng - Cities, 2020 - Elsevier
The study of urban dynamics from spatio-temporal information contained in massive human-
tracking data has become a hotspot in research. As numerous human mobility patterns and …

[PDF][PDF] Privacy-by-design in big data analytics and social mining

A Monreale, S Rinzivillo, F Pratesi, F Giannotti… - EPJ Data Science, 2014 - Springer
Privacy is ever-growing concern in our society and is becoming a fundamental aspect to
take into account when one wants to use, publish and analyze data involving human …

Using mobile phone data to determine spatial correlations between tourism facilities

C Qian, W Li, Z Duan, D Yang, B Ran - Journal of Transport Geography, 2021 - Elsevier
Mobile phone data provide a more complete and accurate description of tourism
transportation demand than traditional and Internet data sources. In this paper, a framework …

Quantification trees

L Milli, A Monreale, G Rossetti… - 2013 IEEE 13th …, 2013 - ieeexplore.ieee.org
In many applications there is a need to monitor how a population is distributed across
different classes, and to track the changes in this distribution that derive from varying …

[HTML][HTML] Population mobility modelling for mobility data simulation

K Smolak, W Rohm, K Knop, K Siła-Nowicka - Computers, Environment and …, 2020 - Elsevier
Mobility models have a broad range of applications in areas related to human movements,
such as urban planning, transportation, and simulations of diseases spread. In the last …

[HTML][HTML] Discovering temporal regularities in retail customers' shop** behavior

R Guidotti, L Gabrielli, A Monreale… - EPJ Data …, 2018 - epjdatascience.springeropen.com
In this paper we investigate the regularities characterizing the temporal purchasing behavior
of the customers of a retail market chain. Most of the literature studying purchasing behavior …