Zobrazeno 1 - 3
of 3
pro vyhledávání: '"D. F. BENOIT"'
Autor:
D. F. BENOIT, D. VAN DEN POEL
This study investigates the advantage of social network mining in a customer retention context. A company that is able to identify likely churners in an early stage can take appropriate steps to prevent these potential churners from actually churning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::b0feca1f09dedb16c8ea30f2c3aeafe2
http://wps-feb.ugent.be/Papers/wp_12_786.pdf
http://wps-feb.ugent.be/Papers/wp_12_786.pdf
Autor:
D. F. BENOIT, D. VAN DEN POEL
In this article, we develop a Bayesian method for quantile regression in the case of dichotomous response data. The frequentist approach to this type of regression has proven problematic in both optimizing the objective function and making inference
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::45d8a855a30229406f4e7de461f7f786
http://wps-feb.ugent.be/Papers/wp_10_662.pdf
http://wps-feb.ugent.be/Papers/wp_10_662.pdf
Autor:
D. F. BENOIT, D. VAN DEN POEL
The move towards a customer-centred approach to marketing, coupled with the increasing availability of customer transaction data, has led to an interest in understanding and estimating customer lifetime value (CLV). Several authors point out that, wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::de2c965f64f1eccd81a8dca5870da482
http://wps-feb.ugent.be/Papers/wp_09_551.pdf
http://wps-feb.ugent.be/Papers/wp_09_551.pdf