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~person:"Krafft, Manfred"
~person:"Van den Poel, Dirk"
~type_genre:"Arbeitspapier"
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Improving purchasing behavior predictions by data augmentation with situational variables
Baecke, Philippe
;
Van den Poel, Dirk
-
2010
Persistent link: https://www.econbiz.de/10008821739
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2
Analyzing existing customers’ websites to improve the customer acquisition process as well as the profitability prediction in B-to-B marketing
Thorleuchter, Dirk
;
Van den Poel, Dirk
;
Prinzie, Anita
-
2011
Persistent link: https://www.econbiz.de/10009354965
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3
Model-supported business-to-business prospect prediction based on an iterative customer acquisition framework
D'Haen, Jeroen
;
Van den Poel, Dirk
-
2013
Persistent link: https://www.econbiz.de/10010411726
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4
Customer base analysis : partial defection of behaviorally-loyal clients in a non-contractual FMCG retail setting
Buckinx, Wouter
(
contributor
); …
-
2003
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001810342
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5
Measuring the custumer relationship management construct and linking it to performance outcomes
Reinartz, Werner J.
(
contributor
); …
-
2003
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001825341
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6
Joint optimization of customer segmentation and marketing policy to maximize long-term profitability
Jonker, Jedid-Jah Jan
(
contributor
); …
-
2003
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001926990
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Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers
Baesens, Bart
(
contributor
);
Verstraeten, Geert
(
contributor
)
-
2002
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001741980
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8
Constrained optimization of data-mining problems to improve model performance : a direct-marketing application
Prinzie, Anita
(
contributor
);
Van den Poel, Dirk
(
contributor
)
-
2005
Persistent link: https://www.econbiz.de/10002717963
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9
Investigating the post-complaint period by means of survival analysis
Larivière, Bart
(
contributor
); …
-
2005
Persistent link: https://www.econbiz.de/10002717992
Saved in:
10
Predicting customer retention and profitability by using random forests and regression forests techniques
Larivière, Bart
(
contributor
); …
-
2004
Persistent link: https://www.econbiz.de/10002593764
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