| New insights into churn prediction in the telecommunication sector: A profit driven data mining approach W Verbeke, K Dejaeger, D Martens, J Hur, B Baesens European journal of operational research 218 (1), 211-229, 2012 | 378 | 2012 |
| Building comprehensible customer churn prediction models with advanced rule induction techniques W Verbeke, D Martens, C Mues, B Baesens Expert systems with applications 38 (3), 2354-2364, 2011 | 316 | 2011 |
| Data mining techniques for software effort estimation: a comparative study K Dejaeger, W Verbeke, D Martens, B Baesens IEEE transactions on software engineering 38 (2), 375-397, 2011 | 230 | 2011 |
| Fraud analytics using descriptive, predictive, and social network techniques: a guide to data science for fraud detection B Baesens, V Van Vlasselaer, W Verbeke John Wiley & Sons, 2015 | 164 | 2015 |
| A novel profit maximizing metric for measuring classification performance of customer churn prediction models T Verbraken, W Verbeke, B Baesens IEEE transactions on knowledge and data engineering 25 (5), 961-973, 2012 | 137 | 2012 |
| Social network analysis for customer churn prediction W Verbeke, D Martens, B Baesens Applied Soft Computing 14, 431-446, 2014 | 131 | 2014 |
| Credit scoring for microfinance: is it worth it? J Van Gool, W Verbeke, P Sercu, B Baesens International Journal of Finance & Economics 17 (2), 103-123, 2012 | 114 | 2012 |
| Performance of classification models from a user perspective D Martens, J Vanthienen, W Verbeke, B Baesens Decision Support Systems 51 (4), 782-793, 2011 | 110 | 2011 |
| Online state of health estimation on NMC cells based on predictive analytics M Berecibar, F Devriendt, M Dubarry, I Villarreal, N Omar, W Verbeke, ... Journal of Power Sources 320, 239-250, 2016 | 94 | 2016 |
| Conventional, hybrid, or electric vehicles: which technology for an urban distribution centre? P Lebeau, C De Cauwer, J Van Mierlo, C Macharis, W Verbeke, ... The Scientific World Journal 2015, 2015 | 57 | 2015 |
| Social network analytics for churn prediction in telco: Model building, evaluation and network architecture M Óskarsdóttir, C Bravo, W Verbeke, C Sarraute, B Baesens, ... Expert Systems with Applications 85, 204-220, 2017 | 55 | 2017 |
| A literature survey and experimental evaluation of the state-of-the-art in uplift modeling: A stepping stone toward the development of prescriptive analytics F Devriendt, D Moldovan, W Verbeke Big data 6 (1), 13-41, 2018 | 47 | 2018 |
| Predicting online channel acceptance with social network data T Verbraken, F Goethals, W Verbeke, B Baesens Decision Support Systems 63, 104-114, 2014 | 39 | 2014 |
| Profit optimizing customer churn prediction with Bayesian network classifiers T Verbraken, W Verbeke, B Baesens Intelligent Data Analysis 18 (1), 3-24, 2014 | 37 | 2014 |
| A data-driven method for energy consumption prediction and energy-efficient routing of electric vehicles in real-world conditions C De Cauwer, W Verbeke, T Coosemans, S Faid, J Van Mierlo Energies 10 (5), 608, 2017 | 35 | 2017 |
| An analysis of the applicability of credit scoring for microfinance J Van Gool, B Baesens, P Sercu, W Verbeke Katholieke Universiteit Leuven Leuven, Belgium. University of Southampton …, 2009 | 34 | 2009 |
| Sensor locations for reliable travel time prediction and dynamic management of traffic networks F Viti, W Verbeke, CMJ Tampère Transportation research record 2049 (1), 103-110, 2008 | 27 | 2008 |
| Profit driven business analytics: A practitioner's guide to transforming big data into added value W Verbeke, B Baesens, C Bravo John Wiley & Sons, 2017 | 20 | 2017 |
| Software effort prediction using regression rule extraction from neural networks R Setiono, K Dejaeger, W Verbeke, D Martens, B Baesens 2010 22nd IEEE International Conference on Tools with Artificial …, 2010 | 20 | 2010 |
| A comparative study of social network classifiers for predicting churn in the telecommunication industry M Óskarsdóttir, C Bravo, W Verbeke, C Sarraute, B Baesens, ... 2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016 | 19 | 2016 |
Bart BaesensAssociate professor, KU LeuvenGeverifieerd e-mailadres voor kuleuven.be
