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~subject:"Prognoseverfahren"
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Prognoseverfahren
Beziehungsmarketing
6
Relationship marketing
6
Classification
5
Data mining
5
Algorithm
4
Algorithmus
4
Data Mining
4
Forecasting model
4
Klassifikation
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Customer churn prediction
2
Customer relationship management
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Customer segmentation
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Direct marketing
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Entscheidungsbaum
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Marktsegmentierung
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Online-Marketing
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RFM
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Advertising effects
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Artificial intelligence
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Binary purchase data
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Business failure prediction
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Computer-assisted marketing
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Computerspieleindustrie
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Cost uncertainty
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Cost-sensitive learning
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Customer retention
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English
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De Bock, Koen W.
4
Coussement, Kristof
3
Caigny, Arno de
2
Lessmann, Stefan
2
Van den Poel, Dirk
1
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European journal of operational research : EJOR
2
International journal of forecasting
1
Working paper series / Universiteit Gent, Faculteit Economie en Bedrijfskunde
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ECONIS (ZBW)
4
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Incorporating textual information in customer churn prediction models based on a convolutional neural network
Caigny, Arno de
;
Coussement, Kristof
;
De Bock, Koen W.
; …
- In:
International journal of forecasting
36
(
2020
)
4
,
pp. 1563-1578
Persistent link: https://www.econbiz.de/10012547130
Saved in:
2
Cost-sensitive business failure prediction when misclassification costs are uncertain : a heterogeneous ensemble selection approach
De Bock, Koen W.
;
Coussement, Kristof
;
Lessmann, Stefan
- In:
European journal of operational research : EJOR
285
(
2020
)
2
,
pp. 612-630
Persistent link: https://www.econbiz.de/10012239630
Saved in:
3
A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees
Caigny, Arno de
;
Coussement, Kristof
;
De Bock, Koen W.
- In:
European journal of operational research : EJOR
269
(
2018
)
2
,
pp. 760-772
Persistent link: https://www.econbiz.de/10011864442
Saved in:
4
Reconciling performance and interpretability in customer churn prediction using ensemble learning based on generalized additive models
De Bock, Koen W.
;
Van den Poel, Dirk
-
2012
Persistent link: https://www.econbiz.de/10009665069
Saved in:
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