DocumentCode
3322720
Title
Context of the concept drift in data mining: An empirical study on the regional economic influence to the relation between demographic attributes and credit card holder’s loyalty
Author
Mo Jia-hui ; Zou Peng ; Chen Jin
Author_Institution
Sch. of Manage., Harbin Inst. of Technol., Harbin
fYear
2008
fDate
10-12 Sept. 2008
Firstpage
38
Lastpage
43
Abstract
In data mining field, concept drift means that the original rule can not adapt to the sample. Concept drift will make the rules unable to be used widely. Recent works supposed the concept drift was influenced by many hidden factors which is called context factor, but did not give evidence. Based on the concept drift theories, this paper carried on the empirical study with Chinese credit card holders, finding the regional economic environment is a remarkable context factor to the individual loyal behavior; it hidden influenced the relation between individual characteristic and their behavior indirectly. This research offered a real empirical example for the influence of context factors of concept drift and proposed a special perspective for Chinese credit card market.
Keywords
credit transactions; data mining; economics; Chinese credit card holders; context factor; data mining; regional economic influence; Conference management; Credit cards; Data mining; Demography; Engineering management; Environmental economics; Human resource management; Information filtering; Statistics; Technology management; concept drift; context factor; customer loyalty; data mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Engineering, 2008. ICMSE 2008. 15th Annual Conference Proceedings., International Conference on
Conference_Location
Long Beach, CA
Print_ISBN
978-1-4244-2387-3
Electronic_ISBN
978-1-4244-2388-0
Type
conf
DOI
10.1109/ICMSE.2008.4668891
Filename
4668891
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