Results 191 to 200 of about 856,045 (240)

ADTreesLogit model for customer churn prediction

Annals of Operations Research, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhou, Y, Li, L, Qi, J, Zhang, L, Liu, Y, Liang, L, Li, H, Shen, Y   +7 more
openaire   +4 more sources

Customer Churn Prediction in the Telecom Sector

2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT)
Customer churn, the phenomenon of customers terminating their subscription or services with a telecom provider, poses a significant challenge in the telecom industry.
Pallav Aggarwal, Vaidehi Vijayakumar
semanticscholar   +1 more source

Customer-Churn Research Based on Customer Segmentation

2009 International Conference on Electronic Commerce and Business Intelligence, 2009
This article explores the unique features of the customer relationship management (CRM) system in Telecom industry and presents a customer-churn model based on customer segmentation. First, the improved Fuzzy C-means clustering algorithm is used to segment customer and conclude high value customer group characteristics.
Xiaobin Zhang, Gao Feng, Huang Hui
openaire   +1 more source

Adoption of Churn Recognition System to Predict Customer Churn

2023
In the cutthroat competitive arena, it is a very challenging task for any enterprise to make a balance between retaining its existing loyal customers and attracting new customers. It is a tedious task to find the right segment of active customers and understand the reason behind churn numbers. It is said that it is five times more costly to attract new
Yuvraj Sharma, Rajender Gurram, Naveen Saharan   +2 more
openaire   +1 more source

Managing Customer Churn via Service Mode Control

Mathematics of Operations Research, 2018
We introduce a novel stochastic control model for the problem of a service firm interacting over time with one of its customers who probabilistically churns depending on the customer’s satisfaction. The firm has two service modes available, and they determine the drift and volatility of the Brownian reward process.
Yash Kanoria, Ilan Lobel, Jiaqi Lu
openaire   +1 more source

Predicting Customer Churn in Telecommunication Industry Using Convolutional Neural Network Model

Social Science Research Network
: In this study a Convolutional Neural Network (CNN) model was proposed for the prediction of customer churn in a telecommunication industry. Many supervised machine learning models have been built and used for predicting customer churn in past ...
A. Ojo
semanticscholar   +1 more source

Customer churn prediction in telecommunications

Expert Systems with Applications, 2012
This paper presents a new set of features for land-line customer churn prediction, including 2 six-month Henley segmentation, precise 4-month call details, line information, bill and payment information, account information, demographic profiles, service orders, complain information, etc.
Bingquan Huang, Mohand Tahar Kechadi, Brian Buckley   +2 more
openaire   +1 more source

Enhancing Customer Churn Prediction in Telecommunications: An Adaptive Ensemble Learning Approach

arXiv.org
Customer churn, the discontinuation of services by existing customers, poses a significant challenge to the telecommunications industry. This paper proposes a novel adaptive ensemble learning framework for highly accurate customer churn prediction.
Mohammed Affan Shaikhsurab, Pramod Magadum   +1 more
semanticscholar   +1 more source

Machine learning models for predicting customer churn: a case study in a software-as-a-service inventory management company

International Journal of Business Intelligence and Data Mining
: Software-as-a-service (SaaS) is a software-licensing model, which allows access to software on a subscription basis using external servers. This article proposes customer churn prediction models for a SaaS inventory management company in Thailand.
N. Phumchusri, Phongsatorn Amornvetchayakul   +1 more
semanticscholar   +1 more source

A Novel Approach to Customer Churn Prediction in Telecom

2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
Customerturnover constitute a remarkable challenge for large companies, particularly in the telecom sector, impacting their revenues. To address this, there’s a need to improve a model predicting potential customer churn.
A. Senthilselvi, V. Kanishk, K. Vineesh, A. Praveen Raj   +3 more
semanticscholar   +1 more source