Related references
Note: Only part of the references are listed.Instance-dependent cost-sensitive learning for detecting transfer fraud
Sebastiaan Hoppner et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2022)
Why you should stop predicting customer churn and start using uplift models
Floris Devriendt et al.
INFORMATION SCIENCES (2021)
Predicting donation behavior: Acquisition modeling in the nonprofit sector using Facebook data
Lisa Schetgen et al.
DECISION SUPPORT SYSTEMS (2021)
Profit-driven churn prediction for the mutual fund industry: A multisegment approach
Sebastian Maldonado et al.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE (2021)
Uplift modeling and its implications for B2B customer churn prediction: A segmentation-based modeling approach
Arno De Caigny et al.
INDUSTRIAL MARKETING MANAGEMENT (2021)
Profit driven decision trees for churn prediction
Sebastiaan Hoeppner et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2020)
Profit-based churn prediction based on Minimax Probability Machines
Sebastian Maldonado et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2020)
Imbalance-XGBoost: leveraging weighted and focal losses for binary label-imbalanced classification with XGBoost
Chen Wang et al.
PATTERN RECOGNITION LETTERS (2020)
A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees
Arno De Caigny et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2018)
A Literature Survey and Experimental Evaluation of the State-of-the-Art in Uplift Modeling: A Stepping Stone Toward the Development of Prescriptive Analytics
Floris Devriendt et al.
BIG DATA (2018)
Profit-Based Model Selection for Customer Retention Using Individual Customer Lifetime Values
Maria Oskarsdottir et al.
BIG DATA (2018)
Profit maximizing logistic model for customer churn prediction using genetic algorithms
Eugen Stripling et al.
SWARM AND EVOLUTIONARY COMPUTATION (2018)
Some Customers Would Rather Leave Without Saying Goodbye
Eva Ascarza et al.
MARKETING SCIENCE (2018)
Retention Futility: Targeting High-Risk Customers Might Be Ineffective
Eva Ascarza
JOURNAL OF MARKETING RESEARCH (2018)
Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry
Niccolo Gordini et al.
INDUSTRIAL MARKETING MANAGEMENT (2017)
A comparison of machine learning techniques for customer churn prediction
T. Vafeiadis et al.
SIMULATION MODELLING PRACTICE AND THEORY (2015)
Managing B2B customer churn, retention and profitability
Ali Tamaddoni Jahromi et al.
INDUSTRIAL MARKETING MANAGEMENT (2014)
A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models
Thomas Verbraken et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2013)
New insights into churn prediction in the telecommunication sector: A profit driven data mining approach
Wouter Verbeke et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2012)
Customer event history for churn prediction: How long is long enough?
Michel Ballings et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
Building comprehensible customer churn prediction models with advanced rule induction techniques
Wouter Verbeke et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Handling class imbalance in customer churn prediction
J. Burez et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
Customer churn prediction by hybrid neural networks
Chih-Fong Tsai et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques
Kristof Coussement et al.
EXPERT SYSTEMS WITH APPLICATIONS (2008)
Separating financial from commercial customer churn: A modeling step towards resolving the conflict between the sales and credit department
Jonathan Burez et al.
EXPERT SYSTEMS WITH APPLICATIONS (2008)
CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services
Jonathan Burez et al.
EXPERT SYSTEMS WITH APPLICATIONS (2007)
Relationship quality as a predictor of B2B customer loyalty
Papassapa Rauyruen et al.
JOURNAL OF BUSINESS RESEARCH (2007)
Defection detection: Measuring and understanding the predictive accuracy of customer churn models
SA Neslin et al.
JOURNAL OF MARKETING RESEARCH (2006)
Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting
W Buckinx et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2005)
Investigating the role of product features in preventing customer churn, by using survival analysis and choice modeling:: The case of financial services
B Larivière et al.
EXPERT SYSTEMS WITH APPLICATIONS (2004)
Strategic decision speed and firm performance
JR Baum et al.
STRATEGIC MANAGEMENT JOURNAL (2003)
The impact of customer relationship characteristics on profitable lifetime duration
WJ Reinartz et al.
JOURNAL OF MARKETING (2003)
Greedy function approximation: A gradient boosting machine
JH Friedman
ANNALS OF STATISTICS (2001)
Missing value estimation methods for DNA microarrays
O Troyanskaya et al.
BIOINFORMATICS (2001)
Customer retention, purchasing behavior and relationship substance in professional services
K Eriksson et al.
INDUSTRIAL MARKETING MANAGEMENT (2000)
Share Paper
