Results 31 to 40 of about 1,523,124 (234)

A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector

IEEE Access, 2019
In the telecom sector, a huge volume of data is being generated on a daily basis due to a vast client base. Decision makers and business analysts emphasized that attaining new customers is costlier than retaining the existing ones.
Irfan Ullah, Basit Raza, Ahmad Kamran Malik, Muhammad Imran, Saif Ul Islam, Sung Won Kim   +5 more
doaj   +1 more source

A Customer Churn Prediction using Pearson Correlation Function and K Nearest Neighbor Algorithm for Telecommunication Industry [PDF]

, 2019
Customer churn in telecommunication industry is actually a serious issue. The Telco company needs to have a churn prediction model to prevent their customer from moving to another telco.
Roslina, Ibrahim, Muhammad Rusydi, Mohd Yusof, Doris Hooi, Ten Wong, Mohd Zamri, Osman, Nilam Nur Amir, Sjarif, Suraya, Ya’akob   +5 more
core   +3 more sources

An Intelligent Hybrid Scheme for Customer Churn Prediction Integrating Clustering and Classification Algorithms

Applied Sciences, 2022
Nowadays, customer churn has been reflected as one of the main concerns in the processes of the telecom sector, as it affects the revenue directly. Telecom companies are looking to design novel methods to identify the potential customer to churn.
Rencheng Liu, Saqib Ali, Syed Fakhar Bilal, Zareen Sakhawat, Azhar Imran, Abdullah Almuhaimeed, Abdulkareem Alzahrani, Guangmin Sun   +7 more
doaj   +1 more source

Business dynamism and regional growth across the business cycle: Implications for recovery from the COVID‐19 crisis

Regional Science Policy &Practice, EarlyView., 2023
Abstract This paper sheds light on regional recovery prospects from the coronavirus disease 2019 (COVID‐19) crisis by examining the link between gross rates of establishment openings and closures and local economic growth spanning the 2001 recession and the 2007–2009 global financial crisis (GFC).
Nicholas Kacher, Stephan Weiler
wiley   +1 more source

Churn Prediction for Mobile Prepaid Subscribers

Proceedings of the 6th International Conference on Data Science, Technology and Applications, 2017
In telecommunication, mobile operators prefer to acquire postpaid subscribers and increase their incoming revenue based on the usage of postpaid lines. However, subscribers tend to buy and use prepaid mobile lines because of the simplicity of the usage, and due to higher control over the cost of the line compared to postpaid lines. Moreover the prepaid
Can, Zehra, Albey, Erinç
openaire   +3 more sources

A Comprehensive Evaluation of Machine Learning and Deep Learning Models for Churn Prediction

Information
Churn prediction has become one of the core concepts in customer relationship management within the insurances, telecom, and internet service provider industries, which is essential in customer retention.
Nabil M. AbdelAziz, Mostafa Bekheet, Ahmad Salah, Nissreen El-Saber, Wafaa T. AbdelMoneim   +4 more
doaj   +1 more source

Customer churn prediction model: a case of the telecommunication market

ECONOMICS, 2022
The telecommunications market is well developed but is characterized by oversaturation and high levels of competition. Based on this, the urgent problem is to retain customers and predict the outflow of customer base by switching subscribers to the ...
Fareniuk Yana, Zatonatska Tetiana, Dluhopolskyi Oleksandr, Kovalenko Oksana   +3 more
doaj   +1 more source

Predicting Environmental Violations: A Cross‐Method Framework Integrating Parametric and Non‐Parametric Approaches

Business Strategy and the Environment, EarlyView.
ABSTRACT Prior research has mostly relied on linear and parametric models while explaining environmental non‐compliance, but they have a limited capacity to capture non‐linear and asymmetric effects of elements affecting firms' environmental compliance.
Ashutosh Singh, Salwa Saleh Almasabi, Ajay Kumar Patel, Judit Petra Koltai, Honghan Qi   +4 more
wiley   +1 more source

Bounded Rationality and Greenwashing: An Information‐Architecture Signalling Framework for Verification Frictions and the Disclosure–Performance Gap

Business Strategy and the Environment, EarlyView.
ABSTRACT Green claims pervade corporate communications, yet their informational value varies because stakeholders process them under bounded rationality—scarce attention and costly verification. This paper develops a conceptual signalling framework in which three parameters—signal diagnosticity (D), verification frictions (V) and available attention (A)
Luca Lancini
wiley   +1 more source

Experimental Analysis of Hyperparameters for Deep Learning-Based Churn Prediction in the Banking Sector

Computation, 2021
Until recently, traditional machine learning techniques (TMLTs) such as multilayer perceptrons (MLPs) and support vector machines (SVMs) have been used successfully for churn prediction, but with significant efforts expended on the configuration of the ...
Edvaldo Domingos, Blessing Ojeme, Olawande Daramola   +2 more
doaj   +1 more source