DocumentCode :
1671589
Title :
A knowledge discovery and data mining process model in E-marketing
Author :
Zeng, Huifang ; Pan, Ding
Author_Institution :
Center for Bus. Intell. Res., Jinan Univ., Guangzhou, China
fYear :
2010
Firstpage :
3960
Lastpage :
3964
Abstract :
Based on the process model CRISP-DM, this paper has solved E-marketing problems like network customer prediction and market segmentation. Each phase of this model was described firstly, and then its application in E-marketing was presented, which provides a complete description of all the steps, from understanding the problem domain to using the discovered knowledge. Finally a KDDM procedure of network marketing is discussed thoroughly, and a simple operating and easy understanding process model is provided to marketing people who have difficulties to make marketing decisions.
Keywords :
data mining; electronic commerce; marketing; CRISP-DM; data mining process model; e-marketing; knowledge discovery; market segmentation; network customer prediction; network marketing; Analytical models; Book reviews; Business; Data mining; Data models; Knowledge engineering; Predictive models; CRISP-DM; E-marketing/network marketing; data mining process; e-customer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
Type :
conf
DOI :
10.1109/WCICA.2010.5553834
Filename :
5553834
Link To Document :
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