Results 41 to 50 of about 192 (158)

Customer Churn Prediction in Banking–Machine Learning Application

open access: yesApplied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
This study applies machine learning to predict customer churn in commercial banking, using a publicly available dataset of 10,000 customers from Kaggle, comprising 14 demographic, behavioural and account‐level features with an approximate 4:1 class imbalance ratio between nonchurners and churners.
Hien Thi Thu Hoang   +3 more
wiley   +1 more source

Modeling and Application of Customer Lifetime Value in Online Retail

open access: yesInformatics, 2018
This article provides an empirical statistical analysis and discussion of the predictive abilities of selected customer lifetime value (CLV) models that could be used in online shopping within e-commerce business settings.
Pavel Jasek   +4 more
doaj   +1 more source

Abstract Book for the 27th Congress of the European Hematology Association

open access: yes, 2022
HemaSphere, Volume 6, Issue S3, Page 1-4130, June 2022.
wiley   +1 more source

Customer Lifetime Value Models: A literature Survey

open access: yesInternational Journal of Industrial Engineering and Production Research, 2013
Customer Lifetime Value (CLV) is known as an important concept in marketing and management of organizations to increase the captured profitability. Total value that a customer produces during his/her lifetime is named customer lifetime value.
MohammadJafar Tarokh   +1 more
doaj  

Adaptive Fulfillment Systems Under Incomplete Control: A Risk‐Oriented Modeling Framework

open access: yesEngineering Reports, Volume 7, Issue 12, December 2025.
A dual‐layer causal model identifies shipping‐tier selection as the only effective control for reducing delivery delays in platform logistics. The findings reveal structural constraints in decentralized fulfillment systems and inform the design of adaptive, risk‐oriented logistics governance. A dual‐layer causal model identifies shipping‐tier selection
Lei Yang, Huiming Lu, Qing Liu
wiley   +1 more source

A New 360° Framework to Predict Customer Lifetime Value for Multi-Category E-Commerce Companies Using a Multi-Output Deep Neural Network and Explainable Artificial Intelligence

open access: yesInformation, 2022
Online purchasing has developed rapidly in recent years due to its efficiency, convenience, low cost, and product variety. This has increased the number of online multi-category e-commerce retailers that sell a variety of product categories.
Gülşah Yılmaz Benk   +2 more
doaj   +1 more source

Recommendations for Advancing Understanding of Eating Disorders in Neurodivergent People: A Commentary on Inal‐Kaleli et al. 2024 and Nimbley et al. 2024

open access: yesInternational Journal of Eating Disorders, Volume 58, Issue 4, Page 677-679, April 2025.
ABSTRACT Two recent reviews in the International Journal of Eating Disorders have highlighted the preponderance and unmet needs of neurodivergent people who experience disordered eating. In this commentary, we encourage researchers to engage with the bigger question of “What's Next?” and consider the type of research that is needed to shift the dial by
Moritz Herle   +2 more
wiley   +1 more source

A Stochastic Approach for Valuing Customers

open access: yesInternational Journal of Information and Communication Technology Research, 2017
The present study attempts to develop a new model for computing customer lifetime value. The customer lifetime value defined in this paper is the combination of present value and future value.
Mohammadjafar Tarokh   +1 more
doaj  

Business Analytics in Customer Lifetime Value: An Overview Analysis

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 15, Issue 1, March 2025.
ABSTRACT In customer‐oriented systems, customer lifetime value (CLV) has been of significant importance for academia and marketing practitioners, especially within the scope of analytical modeling. CLV is a critical approach to managing and organizing a company's profitability.
Onur Dogan   +3 more
wiley   +1 more source

Customers Clustering Based on RFM Model by Using Fuzzy C-means Algorithm(Case Study: Zahedan City Refah Chain Store) [PDF]

open access: yesپژوهش‌های مدیریت عمومی, 2017
One of the major challenges of customer-centric organizations is the recognition of customers, the distinction between different groups of customers and their ranking.
Abdolmajid Imani, Meysam Abbasi
doaj   +1 more source

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