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Association Analysis of Customer Services from the Enterprise Customer Management System

  • Sung-Ju Kim
  • Dong-Sik Yun
  • Byung-Soo Chang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4065)

Abstract

The communications market has seen rising competition among businesses. While securing new customers is still important, it is more crucial to maintain and manage existing customers by providing optimized service and efficient marketing strategies for each customer in order to preserve existing customers from business rivals and ultimately maximize corporate sales. This thesis investigates how to obtain useful methodologies for customer management by applying the technological concepts of data-mining and association analysis to KT’s secure customer data.

Keywords

Association Analysis Customer Service Marketing Activity Phone Service Communication Market 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Jun, H.: Data-mining in Telecommunication Market Telco-CAT (CHURN analysis), p. 11 Google Scholar
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    Jun, H.: Data-mining in Telecommunication Market Telco-CAT (CHURN analysis), p. 3 Google Scholar
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    Sung-hyun, K.: Oracle Technical Note Introducing Data-mining, pp. 2–3 Google Scholar
  4. 4.
    Dunham, M.H.: Data mining introductory and advanced topics, pp. 4–5Google Scholar
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    Sung-hyun, K.: Oracle Technical Note Introducing Data-mining, p. 6 Google Scholar
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    Jiawei, H., Nicheline K.: Data Mining concepts and techniques, p. 461Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Sung-Ju Kim
    • 1
  • Dong-Sik Yun
    • 1
  • Byung-Soo Chang
    • 1
  1. 1.KT network technology laboratoryDaejeonKorea

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