Abstract
Customer Relationship Management (CRM) has attracted much attention due to the high competition in the retail trade. Meanwhile, data mining has great potential to improve the effectiveness of CRM, since the data volume of customers is drastically increasing. In this paper, we firstly propose a logic structure of the retail CRM system, and thus discuss several data mining techniques, i.e., classification, clustering, association analysis, for CRM. Last but not the least, several sub-fields of CRM that are suitable to the application of data mining techniques are discussed. As can be seen from this paper, the retailers must strengthen the application of data mining technology research in order to support the management decision-making and improve the level of information management.
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Acknowledgments
This Research is supported by A Project Funded by the Academic Program Development of Jiangsu Higher Education Institutions (PAPD).
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Han, Y., Yang, Fz., Wu, G. (2013). Applying Data Mining to the Customer Relationship Management in Retail Trade. In: Zhou, S., Wu, Z. (eds) Social Media Retrieval and Mining. Communications in Computer and Information Science, vol 387. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41629-3_10
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DOI: https://doi.org/10.1007/978-3-642-41629-3_10
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