Results 1 to 10 of about 898,826 (199)

CUSTOMER CHURN PREDICTION

International Journal for Research in Engineering Application & Management
Our work focuses on applying supervised machine learning techniques to anticipate bank client attrition. We created a straightforward and effective strategy that works with a variety of machine learning techniques. We tested many methods through tests and discovered that the Decision Tree strategy was the most effective in forecasting client attrition.
Lavina Anand Parulekar, Prajkta Shriram Jamsandekar, Sampada Sanjay Parkar, Sawant S.P   +3 more
semanticscholar   +9 more sources

Integrated Churn Prediction and Customer Segmentation Framework for Telco Business

IEEE Access, 2021
In the telco industry, attracting new customers is no longer a good strategy since the cost of retaining existing customers is much lower. Churn management becomes instrumental in the telco industry.
Shuli Wu, Wei-Chuen Yau, Thian-Song Ong, Siew-Chin Chong   +3 more
doaj   +3 more sources

A Swish RNN based customer churn prediction for the telecom industry with a novel feature selection strategy

Connection Science, 2022
Owing to saturated markets, fierce competition, dynamic criteria, along with introduction of new attractive offers, the considerable issue of customer churn was faced by the telecommunication industry.
R. Sudharsan, E. N. Ganesh
doaj   +2 more sources

Customer churn prediction using composite deep learning technique

Scientific Reports, 2023
Customer churn, a phenomenon that causes large financial losses when customers leave a business, makes it difficult for modern organizations to retain customers.
Asad Khattak, Zartashia Mehak, Hussain Ahmad, Muhammad Usama Asghar, Muhammad Zubair Asghar, Aurangzeb Khan   +5 more
doaj   +2 more sources

Customer Churn Analysis: Analyzing Customer Churn Determinants on an ISP Company in Indonesia

Buletin Pos dan Telekomunikasi: Media Komunikasi Ilmiah, 2021
The growth of Internet Service Providers (ISP) in Indonesia, has led Indonesia to be one of the world’s fastest-growing telecommunications market. This condition derives a number of internet service providers pushing the Indonesian market massively one ...
Nisrina Salma, Atik Aprianingsih, Ph.D
doaj   +3 more sources

PERANCANGAN SISTEM PREDIKSI CHURN PELANGGAN PT. TELEKOMUNIKASI SELULER DENGAN MEMANFAATKAN PROSES DATA MINING [PDF]

Jurnal Informatika, 2008
The purpose of this research is to design a customer churn prediction system using data mining approach. This system is able to perform data integration, data cleaning, data transformation, sampling and data splitting, prediction model building ...
Rajesri Govindaraju, Tota Simatupang, TMA. Ari Samadhi   +2 more
doaj   +1 more source

A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners

IEEE Access
Due to market deregulation and globalisation, competitive environments in various sectors continuously evolve, leading to increased customer churn. Effectively anticipating and mitigating customer churn is vital for businesses to retain their customer ...
Awais Manzoor, M. Atif Qureshi, Etain Kidney, Luca Longo   +3 more
doaj   +2 more sources

Customer churn prediction in telecom using machine learning in big data platform

Journal of Big Data, 2019
Customer churn is a major problem and one of the most important concerns for large companies. Due to the direct effect on the revenues of the companies, especially in the telecom field, companies are seeking to develop means to predict potential customer
Abdelrahim Kasem Ahmad, Assef Jafar, Kadan Aljoumaa   +2 more
doaj   +3 more sources

ChurnKB: A Generative AI-Enriched Knowledge Base for Customer Churn Feature Engineering

Algorithms
Customers are the cornerstone of business success across industries. Companies invest significant resources in acquiring new customers and, more importantly, retaining existing ones.
Maryam Shahabikargar, Amin Beheshti, Wathiq Mansoor, Xuyun Zhang, Eu Jin Foo, Alireza Jolfaei, Ambreen Hanif, Nasrin Shabani   +7 more
doaj   +2 more sources

Prediction of Customer Churn Behavior in the Telecommunication Industry Using Machine Learning Models

Algorithms
Customer churn is a significant concern, and the telecommunications industry has the largest annual churn rate of any major industry at over 30%. This study examines the use of ensemble learning models to analyze and forecast customer churn in the ...
Victor Chang, Karl Hall, Qianwen Ariel Xu, Folakemi Ololade Amao, Meghana Ashok Ganatra, Vladlena Benson   +5 more
doaj   +2 more sources