Mobile phone data: A survey of techniques, features, and applications
Due to the rapid growth in the use of smartphones, the digital traces (eg, mobile phone data,
call detail records) left by the use of these devices have been widely employed to assess …
call detail records) left by the use of these devices have been widely employed to assess …
[PDF][PDF] Call Data Record Analysis using Apriori Algorithm
S Mishra, HB Patel, A Shukla, D Prajapati… - Indian Journal of …, 2023 - papers.ssrn.com
Call Data Record Analysis using Apriori Algorithm Page 1 Indian Journal of Natural Sciences
www.tnsroindia.org.in ©IJONS Vol.14 / Issue 80 / Oct / 2023 International Bimonthly (Print) …
www.tnsroindia.org.in ©IJONS Vol.14 / Issue 80 / Oct / 2023 International Bimonthly (Print) …
ECMCRR-MPDNL for cellular network traffic prediction with big data
VS Dommaraju, K Nathani, U Tariq, F Al-Turjman… - IEEE …, 2020 - ieeexplore.ieee.org
Big data comprises a large volume of data (ie, structured and unstructured) stored on a daily
basis. Processing such volume of data is a complex task as well as the challenging one …
basis. Processing such volume of data is a complex task as well as the challenging one …
What is financial inclusion?
R Prabhakar - Financial Inclusion, 2021 - bristoluniversitypressdigital.com
Financial inclusion has emerged as an important social policy agenda over the past 20
years (Collard, 2007; Mitton, 2008; Marron, 2013; World Bank, 2014; Berry, 2015; Financial …
years (Collard, 2007; Mitton, 2008; Marron, 2013; World Bank, 2014; Berry, 2015; Financial …
Orthogonal projection for anomaly detection in networking datasets
In recent years, the impressive growth of new wireless technologies, together with the
appearance of new requirements in applications and services, is progressively changing the …
appearance of new requirements in applications and services, is progressively changing the …
[HTML][HTML] Information theory based clustering of cellular network usage data for the identification of representative urban areas
The exponential growth of the number of network devices in recent years not only entails the
need for automation of management tasks, but also leads to the increase of available …
need for automation of management tasks, but also leads to the increase of available …
Estimating population density without contravening citizen's privacy: Warsaw use case
M Luckner, I Krzemińska, P Wawrzyniak… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Spatial data on a cellular network load can be used to develop commercial and public
services. However, such data is calculated based on individual users' behavior and can …
services. However, such data is calculated based on individual users' behavior and can …
A deep learning approach for m2m traffic classification using call detail records
Y Lu, Y Ma, L Shi, L Chen - 2021 IEEE 6th International …, 2021 - ieeexplore.ieee.org
With the rapid progress of the fifth-generation mobile communication technology (5G) and its
applications in vertical industries, the number of Machine to Machine (M2M) connections …
applications in vertical industries, the number of Machine to Machine (M2M) connections …
Effective optimization of billboard ads based on cdr data leverage
IE Semassel, S Ben Yahia - Journal of Telecommunications and …, 2022 - search.informit.org
Call Detail Records (CDRs) provide metadata about phone calls and text message usage.
Many studies have shown these CDR data to provide gainful information on people's …
Many studies have shown these CDR data to provide gainful information on people's …
Detection and analysis of cellular network traffic anomalies and SMS spammers
BS Sandhya, R Deshpande - Journal of Electrical Systems, 2024 - search.proquest.com
The unfolding usage of mobile users inclusive of both 4G and 5G creates huge
accumulation of data in cellular network. The network service providers need to ensure …
accumulation of data in cellular network. The network service providers need to ensure …