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Research on Customer Segmentation Based on Extension Classification

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Book cover Web Technologies and Applications (APWeb 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7234))

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Abstract

Customer value (CV) can scale the relative essentiality on the customer for an enterprise according to an enterprise as a main body of value and the customer as an object of value at the same time. CV is varied continually in a changing environment. Based on extensible classification method and CV theory, the changing rules of CV can be explored through performing extension transformations, and then the extension classification knowledge on the transfromation of CV can be acquired. Thereby we can carry out the changing segmentation for customers’ group. This study can provide a foundation for the enterprise to fomulate the strategy of client relationship management. It can provide a new idea for studying CV and customer segmentation, and also exploit a new applying field for extension data mining.

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© 2012 Springer-Verlag Berlin Heidelberg

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Yang, C., Li, X., Li, W. (2012). Research on Customer Segmentation Based on Extension Classification. In: Wang, H., et al. Web Technologies and Applications. APWeb 2012. Lecture Notes in Computer Science, vol 7234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29426-6_13

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  • DOI: https://doi.org/10.1007/978-3-642-29426-6_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29425-9

  • Online ISBN: 978-3-642-29426-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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