Results 121 to 130 of about 856,045 (240)

E-commerce big data processing based on an improved RBF model

Journal of Intelligent Systems
In the dynamic landscape of China’s booming economy, the surge in e-commerce customer volume presents both opportunities and challenges, notably in managing customer churn (CC). Addressing this critical issue, this study introduces an innovative approach
Lu Qiuping
doaj   +1 more source

Artificial Intelligence Based Customer Churn Prediction Model for Business Markets. [PDF]

Comput Intell Neurosci, 2022
Faritha Banu J, Neelakandan S, Geetha BT, Selvalakshmi V, Umadevi A, Martinson EO.   +5 more
europepmc   +1 more source

Which could be the role of Hybrid Fibre Coax in Next Generation Access networks? [PDF]

, 2011
Next generation access networks (NGAN) will support a renewed communication structure where opportunities lie in the provision of ubiquitous broadband connectivity, a wide variety of new applications, appealing contents and a general support to the ...
Coomonte Belmonte, Rafael, Feijoo Gonzalez, Claudio Antonio, Martín, Ángel   +2 more
core   +1 more source

AI-Based Customer Churn Prediction Model for Business Markets in the USA: Exploring the Use of AI and Machine Learning Technologies in Preventing Customer Churn

Journal of Computer Science and Technology Studies
Understanding consumer churn is pivotal for companies in the USA to develop efficient strategies for consumer retention and reduce its negative effects on revenue and profitability.
N. Gurung, Md Rokibul Hasan, Sumon Gazi, Faiaz Rahat Chowdhury   +3 more
semanticscholar   +1 more source

Customer Churn Prediction Pada Sektor Perbankan Dengan Model Logistic Regression dan Random Forest

Computer Science
– Customer churn is a detrimental phenomenon in the banking sector because it can reduce revenue and increase the cost of acquiring new customers. This research aims to compare the performance of two models, Logistic Regression and Random Forest, to ...
Ely Mufida, Doni Andriansyah, Hylenarti Hertyana   +2 more
doaj   +1 more source

Propension to customer churn in a financial institution: a machine learning approach. [PDF]

Neural Comput Appl, 2022
de Lima Lemos RA, Silva TC, Tabak BM.
europepmc   +1 more source

A novel customer churn prediction model for the telecommunication industry using data transformation methods and feature selection. [PDF]

PLoS One, 2022
Sana JK, Abedin MZ, Rahman MS, Rahman MS.   +3 more
europepmc   +1 more source

Identifying customer churn in Telecom sector: A Machine Learning Approach

Fountain Journal of Natural and Applied Sciences (FUJNAS)
Nowadays, there is no shortage of options for customers when choosing where to put their money. As a result, customer churn and engagement have become one of the top issues.
Moshood Abiola Hambali, Emmanuel Lawrence, Yinusa Olasupo, Ishaku Andrew   +3 more
doaj   +1 more source

Clairvoyant: AdaBoost with Cost-Enabled Cost-Sensitive Classifier for Customer Churn Prediction. [PDF]

Comput Intell Neurosci, 2022
Thakkar HK, Desai A, Ghosh S, Singh P, Sharma G.   +4 more
europepmc   +1 more source

An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry. [PDF]

PeerJ Comput Sci, 2022
Fakhar Bilal S, Ali Almazroi A, Bashir S, Hassan Khan F, Ali Almazroi A.   +4 more
europepmc   +1 more source