DocumentCode :
2256022
Title :
Data mining process model for marketing and CRM
Author :
Pan, Ding
Author_Institution :
Center for Bus. Intell. Res., Jinan Univ., Guangzhou, China
Volume :
1
fYear :
2010
fDate :
11-14 July 2010
Firstpage :
433
Lastpage :
438
Abstract :
The role of data mining has become increasingly important for organizational marketing that has large databases of information on customers. The data mining researchers have presented various mining algorithms to extract patterns in data for successful CRM approach. The traditional dominant KDD process model offers valuable guidance on the projected-management oriented stages, with no relevant mechanism to provide guidance in the crucial issue of business understanding, model selection and known knowledge integration. The requirements of continuous data mining process for marketing and CRM environment are described, and then a novel integrative framework for knowledge discovery process is proposed, and a knowledge conceptual hierarchy to characterize the process operation features and interrelations is discussed.
Keywords :
customer relationship management; data mining; marketing data processing; project management; CRM; continuous data mining process; dominant KDD process model; knowledge conceptual hierarchy; knowledge discovery process; knowledge integration; organizational marketing; pattern extraction; project management; Business; Context modeling; Data mining; Data models; Delta modulation; Monitoring; Ontologies; Campaign management; Knowledge management; Process model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
Type :
conf
DOI :
10.1109/ICMLC.2010.5581022
Filename :
5581022
Link To Document :
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