| The impact of experimental setup in prepaid churn prediction for mobile telecommunications: What to predict, for whom and does the customer experience matter? D Radosavljevik, P van der Putten, KK Larsen Trans. Mach. Learn. Data Min. 3 (2), 80-99, 2010 | 44 | 2010 |
| Combining customer attribute and social network mining for prepaid mobile churn prediction PD Kusuma, D Radosavljevik, FW Takes, P van der Putten Proc. the 23rd Annual Belgian Dutch Conference on Machine Learning …, 2013 | 36 | 2013 |
| Preventing churn in telecommunications: The forgotten network D Radosavljevik, P van der Putten Advances in Intelligent Data Analysis XII: 12th International Symposium, IDA …, 2013 | 8 | 2013 |
| Large scale predictive modeling for micro-simulation of 3g air interface load D Radosavljevik, P van der Putten Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 4 | 2014 |
| The Impact of Experimental Setup on Prepaid Churn Modeling: Data, Population and Outcome Definition. D Radosavljevik, P van der Putten, KK Larsen ICDM (Workshops), 14-27, 2010 | 3 | 2010 |
| Mass scale modeling and simulation of the air-interface load in 3g radio access networks D Radosavljevik, P van der Putten, K Kyllesbech Larsen Advances in Intelligent Data Analysis XI: 11th International Symposium, IDA …, 2012 | 2 | 2012 |
| Service Revenue Forecasting in Telecommunications: A Data Science Approach D Radosavljevik, P van der Putten Benelearn 2017: Proceedings of the Twenty-Sixth Benelux Conference on …, 2017 | 1 | 2017 |
| Applying data mining in telecommunications D Radosavljevik Leiden University, 2017 | | 2017 |
| Customer Satisfaction and Network Experience in Mobile Telecommunications D Radosavljevik, P van der Putten, KK Larsen Economic Psychology 12 (2), 267-286, 0 | | |
