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Incorporating neighborhood effects in customer relationship management models
Boekbijdrage - Boekhoofdstuk Conferentiebijdrage
Traditional customer relationship management (CRM) models often ignore the correlation that could exist in the purchase behavior of neighboring customers. Instead of treating this correlation as nuisance in the error term, a generalized linear autologistic regression can be used to take these neighborhood effects into account and improve the predictive performance of a customer identification model for a Japanese automobile brand. In addition, this study shows that the level on which neighborhoods are composed has an important influence on the extra value that results from the incorporation of spatial autocorrelation.
Boek: LECTURE NOTES IN COMPUTER SCIENCE
Pagina's: 90 - 95
Jaar van publicatie:2011