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Tine Van Calster
Tine Van Calster
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Cited by
Year
Time series for early churn detection: Using similarity based classification for dynamic networks
M Óskarsdóttir, T Van Calster, B Baesens, W Lemahieu, J Vanthienen
Expert Systems with Applications 106, 55-65, 2018
342018
ProfARIMA: A profit-driven order identification algorithm for ARIMA models in sales forecasting
T Van Calster, B Baesens, W Lemahieu
Applied Soft Computing 60, 775-785, 2017
242017
Closing the gap between experts and novices using analytics-as-a-service: an experimental study
J Lismont, T Van Calster, M Óskarsdóttir, B Baesens, W Lemahieu, ...
Business & Information Systems Engineering 61 (6), 679-693, 2019
142019
Automated Analytics: The Organizational Impact of Analytics-as-a-Service
T Van Calster, J Lismont, M Óskarsdóttir, S vanden Broucke, J Vanthienen, ...
1st workshop on enterprise intelligence in conjunction with KDD, 2016
42016
Profit-oriented sales forecasting: a comparison of forecasting techniques from a business perspective
T Van Calster, FV Bossche, B Baesens, W Lemahieu
arXiv preprint arXiv:2002.00949, 2020
22020
API for prediction and machine learning: poll results and analysis
J Lismont, T Van Calster, M Oskarsdottir, J Vanthienen, B Baesens, ...
KDnuggets News, 2015
12015
A matter of time-leveraging time series data for business applications.
T Van Calster
2018
A representation of dynamic networks for early churn detection in telco
M Oskarsdottir, T Van Calster, B Baesens, W Lemahieu, J Vanthienen
NetSci 2018, Date: 2018/06/11-2018/06/15, Location: Paris (France), 2018
2018
Forecasting blood donations with neural networks
T Van Calster, M Reusens, B Baesens, W Lemahieu
Business analytics in finance and industry, Date: 2018/01/17-2018/01/19 …, 2018
2018
Clustering time series from call networks to predict churn
M Oskarsdottir, T Van Calster, W Lemahieu, B Baesens, J Vanthienen
ENBIS-17, Date: 2017/09/09-2017/09/14, Location: Naples (Italy), 2017
2017
What's in the network? A stepwise overview of working with networked data in R
T Van Calster, M Reusens, M Óskarsdóttir, S Mitrovic, J Lismont, ...
useR!, Date: 2017/07/05-2017/07/07, Location: Brussels (Belgium), 2017
2017
Forecasting blood donations with Google Trends
T Van Calster, M Reusens, B Baesens, W Lemahieu
International Symposium on Forecasting, Date: 2016/06/19-2016/06/22 …, 2016
2016
Data-driven algorithm for bottom-up hierarchical forecasting: a global sales forecast for the Coca-Cola Company
T Van Calster, W Lemahieu, B Baesens
Business Analytics in Finance and Industry, Date: 2015/12/14-2015/12/16 …, 2016
2016
Hierarchical sales forecasting for The Coca-Cola Company-A time series benchmark and initial tool optimization
T Van Calster, W Lemahieu, B Baesens
European Conference on Operational Research, Date: 2015/07/12-2015/07/15 …, 2015
2015
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