Abstract
With the development of computer technology and Internet technology, the Internet has affect all aspects of people’s lives greatly, One of the issues in the applications of Internet technology is how to pick up useful information that is benefit for us from these complex data sets. This article describes the process, methods, and specific applications of data mining in e-commerce site, and it will provide services that grasping dynamic changes, tracking changes and making the development strategy of the future for enterprises.
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References
Berry, M.J., Linoff, G.S.: Data mining techniques. Machinery Industry Press (2006)
Perner, P.: Advances in Data Mining. Medical Applications, E-Commerce, Marketing and Theoretical Aspects, pp. 20–80. Springer (2008)
Wang, G.F., Xu, D.Q.: Web usage mining in e-commerce personalization service. Hubei University of Economics (Humanities and Social Sciences) (9), 46–47 (2007)
Zhu, Z.-G., Kong, L.: Web mining techniques in e-commerce research and applications. Changsha Telecommunications and Technology Vocational College (1), 32–37 (2007)
Li, S., Shao, L., Li, N.: Artificial neural network BP algorithm. Computer Knowledge and Technical/Academic Exchange (5), 20–22 (2008)
Xiao, H., Hung, F., Zhang, Z.: Such as intrusion detection based on the integration of classification and support vector machine. Computer Simulation 25(4), 130–132 (2008)
Chang, W., Wang, Z., Yan, X.: Intrusion detection system based on integrated neural network research. Computer Simulation 24(3), 134–137 (2007)
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© 2013 Springer-Verlag Berlin Heidelberg
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Hongjiu, G. (2013). Data Mining in the Application of E-Commerce Website. In: Du, Z. (eds) Intelligence Computation and Evolutionary Computation. Advances in Intelligent Systems and Computing, vol 180. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31656-2_70
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DOI: https://doi.org/10.1007/978-3-642-31656-2_70
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31655-5
Online ISBN: 978-3-642-31656-2
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