Results 91 to 100 of about 9,076 (200)

Research on customer churn prediction and model interpretability analysis. [PDF]

PLoS One, 2023
Peng K, Peng Y, Li W.
europepmc   +1 more source

Research on telecom industry customer churn prediction based on explainable machine learning models

Dianxin kexue
In the telecom industry, accurate prediction of customer churn is crucial for the companies involved to maintain market competitiveness and increase revenue.
WANG Shengjie, ZHANG Qinghong
doaj   +2 more sources

CUSTOMER CHURN PREDICTION USING MACHINE LEARNING

International Journal For Innovative Engineering and Management Research, 2022
In developed countries, telecommunications has become one of the most important industries. The level of competition has risen as a result of technological advancements and an increase in the number of operators. Companies depend on a variety of techniques to thrive in this competitive industry. Three main strategies have been proposed to generate more
openaire   +1 more source

Reality Winners

Critical Quarterly, Volume 67, Issue 4, Page 153-195, December 2025.
Lee Grieveson
wiley   +1 more source

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   +1 more source

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

J Big Data, 2023
Suh Y.
europepmc   +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

Applying CHAID for logistic regression diagnostics and classification accuracy improvement [PDF]

In this study a CHAID-based approach to detecting classification accuracy heterogeneity across segments of observations is proposed. This helps to solve some important problems, facing a model-builder: 1. How to automatically detect segments in which the
Antipov, Evgeny, Pokryshevskaya, Elena
core   +1 more source

Telco Customer Churn Prediction

Highlights in Science, Engineering and Technology
In recognizing the significance of retaining current consumers to thrive in this competitive landscape, this paper aims to predict customers' churn probability based on the background and behaviors of previous customers. The paper utilizes churn probability as a proactive means to identify customers at a high risk of leaving, serving as a reference for
openaire   +1 more source

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   +1 more source