Verbeke, Wouter

New insights into churn prediction in the telecommunication sector: a profit driven data mining approach

Verbeke, W., Dejaeger, K., Martens, D., Hur, J., & Baesens, B. (2012) · European Journal of Operational Research

Customer churn and segmentationCustomer Service Quality and Loyalty

Cited by 462

Data mining techniques for software effort estimation: a comparative study

Dejaeger, K., Verbeke, W., Martens, D., & Baesens, B. (2012) · IEEE Transactions on Software Engineering

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 224

Online state of health estimation on NMC cells based on predictive analytics

Berecibar, M., Devriendt, F., Dubarry, M., Villarreal, I., Omar, N., Verbeke, W., & Van Mierlo, J. (2016) · Journal of Power Sources

Battery Modeling and ManagementAdvancements in Battery Materials

Cited by 202

Social network analysis for customer churn prediction

Verbeke, W., Martens, D., & Baesens, B. (2014) · Applied Soft Computing

Customer churn and segmentationCustomer Service Quality and Loyalty

Cited by 164

A literature survey and experimental evaluation of the state-of-the-art in uplift modeling: A stepping stone toward the development of prescriptive analytics

Devriendt, F., Moldovan, D., & Verbeke, W. (2018) · Big Data

Customer churn and segmentationAdvanced Causal Inference Techniques

Cited by 116

Why you should stop predicting customer churn and start using uplift models

Devriendt, F., Berrevoets, J., & Verbeke, W. (2021) · Information Sciences

Customer churn and segmentationCustomer Service Quality and Loyalty

Cited by 90

Redefining profit metrics for boosting student retention in higher education

Maldonado, S., Miranda, J., Olaya, D., Vásquez, J., & Verbeke, W. (2021) · Decision Support Systems

Online Learning and AnalyticsCustomer churn and segmentation

Cited by 36

Profit‐Driven Business Analytics: A Practitioner's Guide to Transforming Big Data into Added Value

Verbeke, W., Baesens, B., & Bravo, C. (2017) · Wiley eBooks

Big Data and Business IntelligenceSupply Chain and Inventory Management

Cited by 16