Results 11 to 20 of about 3,473 (211)

Integrated Churn Prediction and Customer Segmentation Framework for Telco Business

open access: yesIEEE 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   +2 more
exaly   +4 more sources

Customer churn prediction for telecommunication industry: A Malaysian Case Study [version 1; peer review: 2 approved] [PDF]

open access: yesF1000Research, 2021
Background: Customer churn is a term that refers to the rate at which customers leave the business. Churn could be due to various factors, including switching to a competitor, cancelling their subscription because of poor customer service, or ...
Nurulhuda Mustafa   +2 more
doaj   +2 more sources

Customer churn prediction using composite deep learning technique [PDF]

open access: yesScientific 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   +5 more
doaj   +2 more sources

CUSTOMER CHURN PREDICTION [PDF]

open access: yesInternational 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   +3 more
core   +8 more sources

Machine learning based customer churn prediction in home appliance rental business [PDF]

open access: yesJournal of Big Data, 2023
Customer churn is a major issue for large enterprises. In particular, in the rental business sector, companies are looking for ways to retain their customers because they are their main source of revenue.
Youngjung Suh
doaj   +2 more sources

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

open access: yesConnection 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
exaly   +2 more sources

Predicting Customer Churn in Retailing

open access: yes2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022
INSiDR
Dirar Sweidan   +3 more
openaire   +3 more sources

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

open access: yesBuletin 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

Negative Correlation Learning for Customer Churn Prediction: A Comparison Study [PDF]

open access: yesThe Scientific World Journal, 2015
Recently, telecommunication companies have been paying more attention toward the problem of identification of customer churn behavior. In business, it is well known for service providers that attracting new customers is much more expensive than retaining
Ali Rodan   +4 more
doaj   +2 more sources

IG-KNN UNTUK PREDIKSI CUSTOMER CHURN TELEKOMUNIKASI

open access: yesSimetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2015
ABSTRAK IG-KNN merupakan gabungan dari algotitma pemilihan fitur information gain dengan algoritma klasifikasi KNN, kedua algoritma ini diharapkan dapat meningkatkan akurasi dalam memprediksi customer churn telekomunikasi.
Muhammad Arifin
doaj   +2 more sources

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