Results 21 to 30 of about 2,799 (223)

The Impact of Churn Labelling Rules on Churn Prediction in Telecommunications

Informatica, 2022
One of the biggest difficulties in telecommunication industry is to retain the customers and prevent the churn. In this article, we overview the most recent researches related to churn detection for telecommunication companies. The selected machine learning methods are applied to the publicly available datasets, partially reproducing the results of ...
Andrej Bugajev, Rima Kriauziene, Olegas Vasilecas, Viktoras Chadysas   +3 more
openaire   +1 more source

A Survey on Churn Analysis in Various Business Domains

IEEE Access, 2020
In this paper, we present churn prediction techniques that have been released so far. Churn prediction is used in the fields of Internet services, games, insurance, and management.
Jaehyun Ahn, Junsik Hwang, Doyoung Kim, Hyukgeun Choi, Shinjin Kang   +4 more
doaj   +1 more source

Telecom Churn Prediction Using Voting Classifier Ensemble Method and Supervised Machine Learning Techniques [PDF]

ITM Web of Conferences, 2023
In the current fast-paced world, there are a lot of changes and developments in the telecom sector, due to which the telecom companies find themselves in difficulties in retaining the customers who have availed of their services.
Pandithurai O., B Sriman, Narayan S Hrudhai, Ahmed H Humaid   +3 more
doaj   +1 more source

Predicting Customer Churn in Retailing

2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022
INSiDR
Dirar Sweidan, Ulf Johansson, Anders Gidenstam, Beatrice Alenljung   +3 more
openaire   +2 more sources

MINIMAX PROBABILITY BASED CHURN PREDICTION FOR PROFIT MAXIMIZATION

ICTACT Journal on Soft Computing, 2021
Churn prediction has become a significant requirement for all customer centric organizations. Accurate prediction of churn can effectively improve customer loyalty and improve profits for the organization.
V Jude Nirmal
doaj   +1 more source

Fuzzy particle swarm optimization (FPSO) based feature selection and hybrid kernel distance based possibilistic fuzzy local information C-means (HKD-PFLICM) clustering for churn prediction in telecom industry

SN Applied Sciences, 2021
Customer churn has been considered as one of the key issues in the operations of the corporate business sector, as it influences the turnover directly.
C. K. Praseeda, B. L. Shivakumar
doaj   +1 more source

A Non-Sequential Representation of Sequential Data for Churn Prediction [PDF]

, 2009
We investigate the length of event sequence giving best predictions when using a continuous HMM approach to churn prediction from sequential data. Motivated by observations that predictions based on only the few most recent events seem to be the most ...
Eastwood, Mark, Gabrys, Bogdan, Mark Eastwood, Bogdan Gabrys, Gabrys, B.   +4 more
core   +1 more source

Intelligent Decision Forest Models for Customer Churn Prediction

Applied Sciences, 2022
Customer churn is a critical issue impacting enterprises and organizations, particularly in the emerging and highly competitive telecommunications industry.
Fatima Enehezei Usman-Hamza, Abdullateef Oluwagbemiga Balogun, Luiz Fernando Capretz, Hammed Adeleye Mojeed, Saipunidzam Mahamad, Shakirat Aderonke Salihu, Abimbola Ganiyat Akintola, Shuib Basri, Ramoni Tirimisiyu Amosa, Nasiru Kehinde Salahdeen   +9 more
doaj   +1 more source

A Churn Prediction System for Telecommunication Company Using Random Forest and Convolution Neural Network Algorithms

EAI Endorsed Transactions on Mobile Communications and Applications, 2022
INTRODUCTION: Customer churn is a severe problem of migrating from one service provider to another. Due to the direct influence on the company's sales, companies are attempting to promote strategies to identify the churn of prospective consumers.
Sulaiman Olaniyi Abdulsalam, Jumoke Falilat Ajao, Bukola Fatimah Balogun, Micheal Olaolu Arowolo   +3 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