Hotspots analysis using cyber-physical-social system for a smart city

F Amin, GS Choi - IEEE access, 2020 - ieeexplore.ieee.org
Internet of things plays a vital role in providing various services to users. Significant volumes
of data are generated from the communication between a large numbers of heterogeneous …

[PDF][PDF] Predicting customer retention using XGBoost and balancing methods

AM AL-Shatnwai, M Faris - International Journal of …, 2020 - pdfs.semanticscholar.org
Customer retention is considered as one of the important concerns for many companies and
financial institutions like banks, telecommunication service providers, investment services …

City Hotspot Identification Using Smart Cyber-Physical Social System

F Amin, L He, GS Choi - IEEE Access, 2024 - ieeexplore.ieee.org
Recently, the concept of smart cities has become popular and got researchers' attention
because it helps to improve citizens' lives by providing valuable services, for instance, smart …

GA-MPG: efficient genetic algorithm for improvised mobile plan generation

RS Shukla, EA Ghuse, T Diwan, JV Tembhurne… - Journal of Ambient …, 2024 - Springer
In the competitive landscape of the telecom sector, a Communication Service Provider's
success hinges on its ability to offer compelling mobile plans tailored to diverse customer …

[PDF][PDF] Analysis and Modeling of Mobile Phone Activity Data Using Interactive Cyber-Physical Social System

F Amin, GS Choi - Computers, Materials and Continua, 2024 - cdn.techscience.cn
Mobile networks possess significant information and thus are considered a gold mine for the
researcher's community. The call detail records (CDR) of a mobile network are used to …

A systematic review of algorithms applied for telecom churn prediction

MBA Joolfoo, RA Jugumauth… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
The emergence of market liberalization and globalization are altering the market
competitiveness field essentially. The existence of modem technique in processes of …

Customer Churn Prediction Using Machine Learning: A Case Study of Libyan Internet Service Provider Company

SA Alteer, A Alariyibi - … 4th International Maghreb Meeting of the …, 2024 - ieeexplore.ieee.org
Artificial intelligence (AI) is a field of science and technology that simulates human
intelligence to develop intelligent machines. Machine Learning (ML), on the other hand, is a …

Predictive Customer Analytics: Machine Learning for Churn Prediction and Retention

T Qaraeen, N Qaqour… - Ahliya Journal of Business …, 2024 - journal.paluniv.edu.ps
Customer churn presents a big challenge in the industry. Businesses have to deal with the
problem of customers stopping using their products and services due to dissatisfaction …

Customer Churn Prediction in Telecommunication: An Analysis on Issues, Techniques and Future Trends

M Maw, SC Haw, CK Ho - 2019 IEEE Conference on …, 2019 - ieeexplore.ieee.org
Customer churn or customer attrition is the situation in which customers stop their
subscriptions from the services of the specific service providers. It has a high impact on the …

[PDF][PDF] CUSTOMER CHURN WITHOUT PERSONAL INFORMATION IN THE TELECOMMUNICATIONS INDUSTRY

B DE KEIZER - arno.uvt.nl
Abstract Models that predict customer churn in the telecommunications sector use personal
information. Due to stricter privacy legislation this is increasingly difficult to maintain. This …