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Research of Customer Relationship Management Solutions Based on Data Mining

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Information Engineering and Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 154))

Abstract

Customer Relationship Management (CRM) is an important part in modern enterprise management, how to improve its efficiency, performance and reliability is of great realistic significance. This paper studies how to optimize and improve CRM by data mining techniques. Firstly, the CRM technology system is analyzed deeply. Then on this basis, proposed and analyzed the customer relationship management-oriented data mining process. Finally, based on data mining technology proposes a CRM solutions, and to more in-depth discussion of this program.

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References

  1. T M Mitchell, “Machine Learning and Data Mining,” Communications of the ACM, vol.56, no.11, pp. 101–107, 2009.

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  2. Thonemann U.W., Improving supply-chain performance by sharing advance demand information, European Journal of Operational Research, vol.142, pp. 81–107, 2002.

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  3. Agarwal V., Assessing the benefits Auto-ID technology in the consumer goods industry, Technical Report, Auto-ID center MIT, 2001.

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  4. Haykin, and J.Nie, A dynamic channel assignment policy through Q-learning, IEEE Trans, Neural Networks, vol.10, p. 1443–1455, 1999.

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Acknowledgments

This paper is supported by National Natural Science Foundation of China (No.70772073; No.61063003), NingXia niversity Natural Science Foundation (No.NDZR10-20)

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Correspondence to Feng Feng .

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© 2012 Springer-Verlag London Limited

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Feng, F. (2012). Research of Customer Relationship Management Solutions Based on Data Mining. In: Zhu, R., Ma, Y. (eds) Information Engineering and Applications. Lecture Notes in Electrical Engineering, vol 154. Springer, London. https://doi.org/10.1007/978-1-4471-2386-6_87

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  • DOI: https://doi.org/10.1007/978-1-4471-2386-6_87

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-2385-9

  • Online ISBN: 978-1-4471-2386-6

  • eBook Packages: EngineeringEngineering (R0)

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