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Conference Paper: Customer Analysis Using Data Mining Techniques

TitleCustomer Analysis Using Data Mining Techniques
Authors
Bose, IChen, X
Issue Date2006
PublisherINFORMS.
Citation
INFORMS International Conference (INFORMS 2006), Hong Kong, 25-28 June 2006 How to Cite?
AbstractOne of the most important jobs marketers do is to analyze the behaviors of customers in order to find possible business opportunities. Marketers use various customer data to perform analysis such as customer segmentation and basket analysis. Data mining techniques can help marketers discover valuable knowledge from these customer data.
Persistent Identifierhttp://hdl.handle.net/10722/112287

 

DC FieldValueLanguage
dc.contributor.authorBose, Ien_HK
dc.contributor.authorChen, Xen_HK
dc.date.accessioned2010-09-26T03:25:38Z-
dc.date.available2010-09-26T03:25:38Z-
dc.date.issued2006en_HK
dc.identifier.citationINFORMS International Conference (INFORMS 2006), Hong Kong, 25-28 June 2006-
dc.identifier.urihttp://hdl.handle.net/10722/112287-
dc.description.abstractOne of the most important jobs marketers do is to analyze the behaviors of customers in order to find possible business opportunities. Marketers use various customer data to perform analysis such as customer segmentation and basket analysis. Data mining techniques can help marketers discover valuable knowledge from these customer data.-
dc.languageengen_HK
dc.publisherINFORMS.en_HK
dc.relation.ispartofINFORMS International Conference, INFORMS 2006en_HK
dc.titleCustomer Analysis Using Data Mining Techniquesen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailBose, I: bose@business.hku.hken_HK
dc.identifier.emailChen, X: chenxi@business.hku.hken_HK
dc.identifier.authorityBose, I=rp01041en_HK
dc.identifier.hkuros124666en_HK

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