Martens, David

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

Comprehensible credit scoring models using rule extraction from support vector machines

Martens, D., Baesens, B., Van Gestel, T., & Vanthienen, J. (2007) · European Journal of Operational Research

Explainable Artificial Intelligence (XAI)Data Mining Algorithms and Applications

Cited by 448

Explaining Data-Driven Document Classifications1

Martens, D., & Provost, F. (2014) · MIS Quarterly

Explainable Artificial Intelligence (XAI)Text and Document Classification Technologies

Cited by 264

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

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

Mining Massive Fine-Grained Behavior Data to Improve Predictive Analytics1

Martens, D., Provost, F., Clark, J., & de Fortuny, E. J. (2016) · MIS Quarterly

Big Data and Business IntelligenceBig Data Technologies and Applications

Cited by 140