Management and enterprise architecture click: The FAD (E) E framework FG Goethals, M Snoeck, W Lemahieu, J Vandenbulcke Information Systems Frontiers 8 (2), 67-79, 2006 | 113 | 2006 |
On the definition of service granularity and its architectural impact R Haesen, M Snoeck, W Lemahieu, S Poelmans International Conference on Advanced Information Systems Engineering, 375-389, 2008 | 112 | 2008 |
Defining analytics maturity indicators: A survey approach J Lismont, J Vanthienen, B Baesens, W Lemahieu International Journal of Information Management 37 (3), 114-124, 2017 | 103 | 2017 |
A multidimensional analysis of data quality for credit risk management: New insights and challenges HT Moges, K Dejaeger, W Lemahieu, B Baesens Information & Management 50 (1), 43-58, 2013 | 82 | 2013 |
A scenario-based verification technique to assess the compatibility of collaborative business processes M De Backer, M Snoeck, G Monsieur, W Lemahieu, G Dedene Data & knowledge engineering 68 (6), 531-551, 2009 | 40 | 2009 |
Determining the use of data quality metadata (DQM) for decision making purposes and its impact on decision outcomes—An exploratory study HT Moges, V Van Vlasselaer, W Lemahieu, B Baesens Decision Support Systems 83, 32-46, 2016 | 38 | 2016 |
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 | 34 | 2018 |
Two basic types of business-to-business integration F Goethals, J Vandenbulcke, W Lemahieu, M Snoech, B Cumps International Journal of E-Business Research (IJEBR) 1 (1), 1-15, 2005 | 32 | 2005 |
Events as atomic contracts for component integration M Snoeck, W Lemahieu, F Goethals, G Dedene, J Vandenbulcke Data & Knowledge Engineering 51 (1), 81-107, 2004 | 31 | 2004 |
A note on explicit versus implicit information for job recommendation M Reusens, W Lemahieu, B Baesens, L Sels Decision Support Systems 98, 26-35, 2017 | 30 | 2017 |
On the operational efficiency of different feature types for telco Churn prediction S Mitrović, B Baesens, W Lemahieu, J De Weerdt European Journal of Operational Research 267 (3), 1141-1155, 2018 | 29 | 2018 |
Predicting tax avoidance by means of social network analytics J Lismont, E Cardinaels, L Bruynseels, S De Groote, B Baesens, ... Decision Support Systems 108, 13-24, 2018 | 27 | 2018 |
Managing data dependencies in service compositions G Monsieur, M Snoeck, W Lemahieu Journal of Systems and Software 85 (11), 2604-2628, 2012 | 26 | 2012 |
Developing the extended enterprise with the FADEE F Goethals, J Vandenbulcke, W Lemahieu Proceedings of the 2004 ACM symposium on Applied computing, 1372-1379, 2004 | 26 | 2004 |
Principles of database management: the practical guide to storing, managing and Analyzing big and small Data W Lemahieu, S vanden Broucke, B Baesens Cambridge University Press, 2018 | 25 | 2018 |
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 | 24 | 2017 |
Deep learning for credit scoring: Do or don’t? BR Gunnarsson, S Vanden Broucke, B Baesens, M Óskarsdóttir, ... European Journal of Operational Research 295 (1), 292-305, 2021 | 22 | 2021 |
An event based approach to web service design and interaction W Lemahieu, M Snoeck, C Michiels, F Goethals Asia-Pacific Web Conference, 333-340, 2003 | 22 | 2003 |
Web service description, advertising and discovery: WSDL and beyond W Lemahieu New Directions In Software Engineering, Leuven University Press, Leuven, 2001 | 22 | 2001 |
tcc2vec: RFM-informed representation learning on call graphs for churn prediction S Mitrović, B Baesens, W Lemahieu, J De Weerdt Information Sciences 557, 270-285, 2021 | 21 | 2021 |