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The Study on Data Mining for Customer Behavior Modeling in Electronic Commerce

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Part of the Communications in Computer and Information Science book series (CCIS,volume 288)

Abstract

The impact of Internet on consumer behavior and marketing practices is now a major and challenging area of research. Internet offers many choices of products, services and content. But the multitude of choices has altered the manner in which customers choose and buy products and services. The paper is to investigate how different dimensions of consumer perception and consumer attitude may affect behavior in electronic commerce environments using data mining. The aim is to define a conceptual modeling in order to establish the role played by reference groups and social information in the development of these variables.

Keywords

  • ad hoc networks
  • Energy consumptions
  • parameter configurations

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© 2012 Springer-Verlag Berlin Heidelberg

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Ma, J. (2012). The Study on Data Mining for Customer Behavior Modeling in Electronic Commerce. In: Zhao, M., Sha, J. (eds) Communications and Information Processing. Communications in Computer and Information Science, vol 288. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31965-5_67

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  • DOI: https://doi.org/10.1007/978-3-642-31965-5_67

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31964-8

  • Online ISBN: 978-3-642-31965-5

  • eBook Packages: Computer ScienceComputer Science (R0)