Results 101 to 110 of about 9,240 (196)
Modeling customer loyalty using customer lifetime value. [PDF]
The definition and modeling of customer loyalty have been central issues in customer relationship management since many years. Recent papers propose solutions to detect customers that are becoming less loyal, also called churners.
Baesens, Bart +2 more
core
Building Combined Classifiers [PDF]
This chapter covers different approaches that may be taken when building an ensemble method, through studying specific examples of each approach from research conducted by the authors.
Eastwood, Mark, Gabrys, Bogdan
core
Research on telecom industry customer churn prediction based on explainable machine learning models
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
Research on customer churn prediction and model interpretability analysis. [PDF]
Peng K, Peng Y, Li W.
europepmc +1 more source
A Systematic Review of Consumer Behaviour Prediction Studies [PDF]
Due to the importance of Customer behaviour prediction, it is necessary to have a systematic review of previous studies on this subject. To this effect, this paper therefore provides a systematic review of Customer behaviours prediction studies with a
Afolabi, I. T. +3 more
core +1 more source
Customer Churn Prediction for a Motor Insurance Company
Customer churn poses a significant challenge in various industries, including motor insurance. Retaining customers within insurance companies is much more challenging than in any other industry as policies are generally renewed every year. The main aim of this research is to identify the risk factors associated with churn, establish who are the ...
Maria Spiteri, George Azzopardi
openaire +2 more sources
ChurnKB: A Generative AI-Enriched Knowledge Base for Customer Churn Feature Engineering
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 +7 more
doaj +1 more source
Machine learning based customer churn prediction in home appliance rental business. [PDF]
Suh Y.
europepmc +1 more source
Artificial Intelligence Based Customer Churn Prediction Model for Business Markets. [PDF]
Faritha Banu J +5 more
europepmc +1 more source
Review of Data Mining Techniques for Churn Prediction in Telecom
Telecommunication sector generates a huge amount of data due to increasing number of subscribers, rapidly renewable technologies; data based applications and other value added service.
Vishal Mahajan +2 more
doaj

