Study on Data Mining Based Customer Management in E-Commerce

Qi Zheng

doi:10.4028/www.scientific.net/AMM.321-324.3026

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Pattern Analysis on Electronic Commerce of Agricultural Products
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Study on Data Mining Based Customer Management in E-Commerce
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Research and Practice of Scientific Research Quality Cultivation of Undergraduates Majoring in Materials Forming and Control Engineering
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 321-324Study on Data Mining Based Customer Management in...

Study on Data Mining Based Customer Management in E-Commerce

Abstract:

Today, businesses face the challenges of using the past to predict the future and using past experiences to communicate effectively with the customer. The purpose of this study is to find ways to study text data in order to discover more latent knowledge. There was not a good information system in place, and the structured data was sparse and overly dispersed. Data mining did not yield any significant discoveries, so the data analysis was indeed cursory. Therefore, the studys recommendations still focus on the execution process of complete customer relationship management and on establishing a more complete system loop in order to reinforce interactions with customers.

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Periodical:

Applied Mechanics and Materials (Volumes 321-324)

Pages:

3026-3029

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.321-324.3026

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Online since:

June 2013

Authors:

Qi Zheng

Keywords:

Customer Management, Data Mining (DM), E-Commerce (EC)

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