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~person:"Baesens, Bart"
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Data mining
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4
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Baesens, Bart
Budzinski, Oliver
65
Altmann, Jorn
52
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40
Kerber, Wolfgang
32
Belleflamme, Paul
31
Peitz, Martin
29
Frieden, Rob
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Klimczuk, Andrzej
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Haucap, Justus
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Martens, Bertin
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Regner, Tobias
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Goldfarb, Avi
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Bauer, Johannes M.
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Ford, George S.
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Evans, David S.
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Forman, Chris
23
Luo, Xueming
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Martens, David
22
Carugati, Christophe
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Friedman, Hershey H.
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Madio, Leonardo
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Modrego, F.
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Winter, Robert
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Yoo, Christopher S.
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Falck, Oliver
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Kalika, Michel
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Kretschmer, Tobias
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Nathan, Max
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O'Leary, Daniel E.
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Shi, Yong
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Stöhr, Annika
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Berdegué, J.
17
Bhatnagar, Vishal
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Gänßle, Sophia
17
Moro, Sérgio
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Pénard, Thierry
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Sapi, Geza
17
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European journal of operational research : EJOR
4
KBI
4
European Journal of Operational Research
3
Business process management workshops : BPM 2007 international workshops, BPI, BPD, CBP, ProHealth, RefMod, semantics4ws, Brisbane, Australia, September 24, 2007 ; revised selected papers
1
Decision support systems : DSS ; the international journal
1
International Journal of Forecasting
1
Journal of the Operational Research Society : OR
1
KU Leuven - Faculty of Economics and Business Working Paper
1
KU Leuven Faculty of Business and Economics KBI 1226
1
MSI
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Review of Business and Economics
1
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Wiley & SAS business series
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ECONIS (ZBW)
20
RePEc
5
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1
Forecasting Loss Given Default models : impact of account characteristics and macroeconomic state
Tobback, Ellen
;
Martens, David
;
Van Gestel, Tony
; …
- In:
Journal of the Operational Research Society : OR
65
(
2014
)
3
,
pp. 376-392
Persistent link: https://www.econbiz.de/10010251701
Saved in:
2
Process mining as first-order classification learning on logs with negative events
Goedertier, Stijn
;
Martens, David
;
Baesens, Bart
; …
- In:
Business process management workshops : BPM 2007 …
,
(pp. 42-53)
.
2008
Persistent link: https://www.econbiz.de/10003727447
Saved in:
3
Predicting going concern opinion with data mining
Martens, David
;
Bruynseels, Liesbeth
;
Baesens, Bart
; …
- In:
Decision support systems : DSS ; the international journal
45
(
2008
)
4
,
pp. 765-777
Persistent link: https://www.econbiz.de/10003780672
Saved in:
4
Data mining : new trends, applications and challenges
Baesens, Bart
- In:
Review of business and economics
54
(
2009
)
1
,
pp. 46-61
Persistent link: https://www.econbiz.de/10003837196
Saved in:
5
A new approach for discovering business process models from event logs
Goedertier, Stijn
;
Martens, David
;
Baesens, Bart
; …
-
2007
Persistent link: https://www.econbiz.de/10003623633
Saved in:
6
Assessment of latent semantic analysis (LSA) text mining algorithms for large scale mapping of patent and scientific publication documents
Magerman, Tom
;
Van Looy, Baart
;
Baesens, Bart
; …
-
2011
Persistent link: https://www.econbiz.de/10009376904
Saved in:
7
New insights into churn prediction in the telecommunication sector : a profit driven data mining approach
Verbeke, Wouter
;
Dejaeger, Karel
;
Martens, David
;
Heo, …
- In:
European journal of operational research : EJOR
218
(
2012
)
1
,
pp. 211-229
Persistent link: https://www.econbiz.de/10009501046
Saved in:
8
Gaining insight into student satisfaction using comprehensible data mining techniques
Dejaeger, Karel
;
Goethals, Frank
;
Giangreco, Antonio
; …
- In:
European journal of operational research : EJOR
218
(
2012
)
2
,
pp. 548-562
Persistent link: https://www.econbiz.de/10009505318
Saved in:
9
Benchmarking state-of-the-art classification algorithms for credit scoring : an update of research
Lessmann, Stefan
;
Baesens, Bart
;
Seow, Hsin-Vonn
; …
- In:
European journal of operational research : EJOR
247
(
2015
)
1
,
pp. 124-136
Persistent link: https://www.econbiz.de/10011347117
Saved in:
10
A comprehensive framework for the application of process mining in risk management and compliance checking
Caron, Filip
;
Vanthienen, Jan
;
Baesens, Bart
-
2012
Persistent link: https://www.econbiz.de/10009716504
Saved in:
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