Journal Articles

Mitrovic, Sandra, Baesens, Bart, Lemahieu, Wilfried, & De Weerdt, Jochen. (2018). On the operational efficiency of different feature types for telco Churn prediction. European Journal of Operational Research, 267(3), 1141-1155.

Conference Proceedings

Mitrovic, Sandra, Singh, Gaurav, Baesens, Bart, Lemahieu, Wilfried, & De Weerdt, Jochen. (2017). Scalable rfm-enriched representation learning for churn prediction. Proceedings of the Fourth IEEE International Conference on Data Science and Advanced Analytics (DSAA2017), 2018-January, 79-88.

Mitrovic, Sandra, Baesens, Bart, Lemahieu, Wilfried, & De Weerdt, Jochen. (2017). Churn prediction using dynamic rfm-augmented node2vec. Proceedings of the Third International Workshop on Dynamics in and of Networks, ECML-PKDD 2017, 10708 LNCS, 122-138.

Abstracts, Presentations, Posters

Mitrovic, Sandra, Baesens, Bart, Lemahieu, Wilfried, & De Weerdt, Jochen. (2017). On added value of feature engineering for churn prediction.

Van Calster, Tine, Reusens, Michael, Oskarsdottir, María, Mitrovic, Sandra, Lismont, Jasmien, De Weerdt, Jochen, . . . Vanthienen, Jan. (2017). What's in the network? A stepwise overview of working with networked data in R.