%0 Conference Paper %1 PearceWebbShawGarner02b %A Pearce, J. %A Webb, G. I. %A Shaw, R. %A Garner, B. %B Proceedings of the IEEE International Conference on Data Mining (ICDM-2002) %C Los Alamitos, CA %D 2002 %I IEEE Computer Society %K imported %P 490-497 %T A Framework for Experimentation and Self Learning in Continuous Database Marketing %X We present a method for continuous database marketing that identifies target customers for a number of marketing offers using predictive models. The algorithm then selects the appropriate offer for the customer. Experimental design principles are encapsulated to capture more information that will be used to monitor and refine the predictive models. The updated predictive models are then used for the next round of marketing offers.

@inproceedings{PearceWebbShawGarner02b, abstract = {We present a method for continuous database marketing that identifies target customers for a number of marketing offers using predictive models. The algorithm then selects the appropriate offer for the customer. Experimental design principles are encapsulated to capture more information that will be used to monitor and refine the predictive models. The updated predictive models are then used for the next round of marketing offers.}, added-at = {2016-03-20T05:42:04.000+0100}, address = {Los Alamitos, CA}, audit-trail = {http://csdl.computer.org/comp/proceedings/icdm/2002/1754/00/1754toc.htm}, author = {Pearce, J. and Webb, G. I. and Shaw, R. and Garner, B.}, biburl = {https://www.bibsonomy.org/bibtex/28c0ed85c999b2fb286f05c31e3e4be1d/giwebb}, booktitle = {Proceedings of the {IEEE} International Conference on Data Mining (ICDM-2002)}, interhash = {cc74334426672cfd48af5c6a13bbd688}, intrahash = {8c0ed85c999b2fb286f05c31e3e4be1d}, keywords = {imported}, location = {Maebashi City, Japan}, pages = {490-497}, publisher = {{IEEE} Computer Society}, timestamp = {2016-03-20T05:42:04.000+0100}, title = {A Framework for Experimentation and Self Learning in Continuous Database Marketing}, year = 2002 }