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Predicting going concern opini...
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Baesens, Bart
164
Willekens, Marleen
103
Vanthienen, Jan
83
Martens, David
73
Gaeremynck, Ann
25
Van Gestel, Tony
23
Bruynseels, Liesbeth
21
Verbeke, Wouter
15
Knechel, W. Robert
14
Claeskens, Gerda
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Mues, Christophe
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Haesen, Raf
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Provost, Foster
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Van den Poel, Dirk
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Viaene, Stijn
9
De Backer, Manu
8
Goedertier, Stijn
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MARTENS, David
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Van Laere, Elisabeth
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Caron, Filip
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Dedene, Guido
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Dekeyser, Simon
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Junqué de Fortuny, Enric
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Lemahieu, Wilfried
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Onderzoeksrapport / Katholieke Universiteit Leuven, Departement Toegepaste Economische Wetenschappen / Katholieke Universiteit Leuven, Departement voor Toegepaste Economische Wetenschappen
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European accounting review
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Review of business and economics
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Informatie en kennis in de economie : Driee͏̈ntwintigste Vlaams Wetenschappelijk Economisch Congres, Leuven 13 en 14 maart 1998
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Business process management workshops : BPM 2007 international workshops, BPI, BPD, CBP, ProHealth, RefMod, semantics4ws, Brisbane, Australia, September 24, 2007 ; revised selected papers
2
Contemporary accounting research : a journal of the Canadian Academic Accounting Association
2
De economist : Netherlands economic review ; quarterly review of the Royal Netherlands Economic Association
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Economics letters
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International Journal of Forecasting
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ECONIS (ZBW)
226
OLC EcoSci
60
RePEc
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BASE
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1
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:
2
Forecasting and analyzing insurance companies' ratings
Van Gestel, Tony
;
Martens, David
;
Baesens, Bart
; …
- In:
International Journal of Forecasting
23
(
2007
)
3
,
pp. 513-529
Persistent link: https://www.econbiz.de/10005429385
Saved in:
3
Comprehensible credit scoring models using rule extraction from support vector machines
Martens, David
;
Baesens, Bart
;
Van Gestel, Tony
; …
- In:
European Journal of Operational Research
183
(
2007
)
3
,
pp. 1466-1476
Persistent link: https://www.econbiz.de/10005257160
Saved in:
4
Comprehensible credit scoring models using rule extraction from support vector machines
Martens, David
;
Baesens, Bart
;
Van Gestel, Tony
; …
- In:
European journal of operational research : EJOR
183
(
2007
)
3
,
pp. 1466-1476
Persistent link: https://www.econbiz.de/10007753022
Saved in:
5
Forecasting and analyzing insurance companies' ratings
Van Gestel, Tony
;
Martens, David
;
Baesens, Bart
; …
- In:
International journal of forecasting
23
(
2007
)
3
,
pp. 513-530
Persistent link: https://www.econbiz.de/10007767618
Saved in:
6
Performance of classification models from a user perspective
Martens, David
;
Vanthienen, Jan
;
Verbeke, Wouter
; …
- In:
Decision support systems : DSS ; the international journal
51
(
2011
)
4
,
pp. 782-794
Persistent link: https://www.econbiz.de/10009289950
Saved in:
7
50 years of data mining and OR : upcoming trends and challenges
Baesens, Bart
;
Mues, C.
;
Martens, David
;
Vanthienen, Jan
- In:
Journal of the Operational Research Society : OR
60
(
2009
),
pp. 16-23
Persistent link: https://www.econbiz.de/10003914730
Saved in:
8
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:
9
Comprehensible credit scoring models using rule extraction from support vector machines
Martens, David
;
Baesens, Bart
;
Van Gestel, Tony
; …
-
2005
Persistent link: https://www.econbiz.de/10003267076
Saved in:
10
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
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