Bart Baesens

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Jan VanthienenKU LeuvenAdresă de e-mail confirmată pe kuleuven.be
David MartensUniversity of AntwerpAdresă de e-mail confirmată pe uantwerp.be
Wouter VerbekeProfessor of Decision Science, KU Leuven, Faculty of Economics and BusinessAdresă de e-mail confirmată pe kuleuven.be
Tony Van GestelAdresă de e-mail confirmată pe dexia.com
Christophe MuesProfessor of Data Science and Information Systems, University of SouthamptonAdresă de e-mail confirmată pe soton.ac.uk
Seppe vanden BrouckeAssociate Professor at UGent - Lecturer at KU LeuvenAdresă de e-mail confirmată pe ugent.be
Stijn ViaeneVlerick Business SchoolAdresă de e-mail confirmată pe vlerick.com
Jochen De WeerdtKU LeuvenAdresă de e-mail confirmată pe kuleuven.be
Wilfried LemahieuKU LeuvenAdresă de e-mail confirmată pe kuleuven.be
Monique SnoeckManagement Information Systems, Faculty of Economics and Business and Economics, KU LeuvenAdresă de e-mail confirmată pe kuleuven.be
María ÓskarsdóttirAssociate Professor University of Southampton and Reykjavík UniversityAdresă de e-mail confirmată pe ru.is
Johan SuykensProfessor, KU LeuvenAdresă de e-mail confirmată pe esat.kuleuven.be
Rudy SetionoAssociate Professor, School of Computing, National University of SingaporeAdresă de e-mail confirmată pe nus.edu.sg
Véronique Van VlasselaerKU LeuvenAdresă de e-mail confirmată pe kuleuven.be
Stefan LessmannProfessor of Information Systems, Humboldt-University of BerlinAdresă de e-mail confirmată pe hu-berlin.de
Cristián BravoProfessor and Canada Research Chair, Western UniversityAdresă de e-mail confirmată pe uwo.ca
Tim VerdonckProfessor Statistics and Data Science, UAntwerpAdresă de e-mail confirmată pe uantwerpen.be
Dirk Van den PoelSenior Full Professor (Gewoon Hoogleraar) Data Analytics, Ghent UniversityAdresă de e-mail confirmată pe ugent.be
De Moor BartKU Leuven ESAT-StadiusAdresă de e-mail confirmată pe esat.kuleuven.be
Jasmien LismontPhD Researcher at KU LeuvenAdresă de e-mail confirmată pe kuleuven.be

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Bart Baesens

Full professor, KU Leuven

Adresă de e-mail confirmată pe kuleuven.be - Pagina de pornire

Analytics Data Science Credit Risk Fraud


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Benchmarking classification models for software defect prediction: A proposed framework and novel findings S Lessmann, B Baesens, C Mues, S Pietsch IEEE transactions on software engineering 34 (4), 485-496, 2008	1564	2008
Benchmarking state-of-the-art classification algorithms for credit scoring B Baesens, T Van Gestel, S Viaene, M Stepanova, J Suykens, ... Journal of the operational research society 54 (6), 627-635, 2003	1344	2003
Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research S Lessmann, B Baesens, HV Seow, LC Thomas European Journal of Operational Research 247 (1), 124-136, 2015	1291	2015
Benchmarking least squares support vector machine classifiers T Van Gestel, JAK Suykens, B Baesens, S Viaene, J Vanthienen, ... Machine learning 54, 5-32, 2004	929	2004
Using neural network rule extraction and decision tables for credit-risk evaluation B Baesens, R Setiono, C Mues, J Vanthienen Management science 49 (3), 312-329, 2003	749	2003
Comprehensible credit scoring models using rule extraction from support vector machines D Martens, B Baesens, T Van Gestel, J Vanthienen European journal of operational research 183 (3), 1466-1476, 2007	609	2007
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	606	2012
Classification with ant colony optimization D Martens, M De Backer, R Haesen, J Vanthienen, M Snoeck, B Baesens IEEE Transactions on evolutionary computation 11 (5), 651-665, 2007	579	2007
An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models J Huysmans, K Dejaeger, C Mues, J Vanthienen, B Baesens Decision Support Systems 51 (1), 141-154, 2011	578	2011
APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions V Van Vlasselaer, C Bravo, O Caelen, T Eliassi-Rad, L Akoglu, M Snoeck, ... Decision support systems 75, 38-48, 2015	540	2015
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	522	2011
Credit risk management, Basic concepts: financial risk components, rating analysis, models, economic and regulatory capital TV Van Gestel Oxford University Press, 2009	435	2009
Analytics in a big data world: The essential guide to data science and its applications B Baesens John Wiley & Sons, 2014	395	2014
Transformational issues of big data and analytics in networked business B Baesens, R Bapna, JR Marsden, J Vanthienen, JL Zhao MIS quarterly 40 (4), 807-818, 2016	387	2016
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	379	2015
Modeling churn using customer lifetime value N Glady, B Baesens, C Croux European journal of operational research 197 (1), 402-411, 2009	326	2009
A comparison of state‐of‐the‐art classification techniques for expert automobile insurance claim fraud detection S Viaene, RA Derrig, B Baesens, G Dedene Journal of Risk and Insurance 69 (3), 373-421, 2002	318	2002
Editorial survey: swarm intelligence for data mining D Martens, B Baesens, T Fawcett Machine Learning 82, 1-42, 2011	310	2011
A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs J De Weerdt, M De Backer, J Vanthienen, B Baesens Information systems 37 (7), 654-676, 2012	303	2012
Bayesian neural network learning for repeat purchase modelling in direct marketing B Baesens, S Viaene, D Van den Poel, J Vanthienen, G Dedene European Journal of Operational Research 138 (1), 191-211, 2002	302	2002

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