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Abstract

Telecommunication companies generate a tremendous amount of data. These data include call detail data, which describes the calls that traverse the telecommunication networks, network data, which describes the state of the hardware and software components in the network, and customer data, which decsribes the telecommmunication customers. This chapter describes how Data Mining can be used to uncover useful information buried within these data sets. Several Data Mining applications are described and together they demonstrate that Data Mining can be used to identify telecommunication fraud, improve marketing effectiveness, and identify network faults.

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© 2005 Springer Science+Business Media, Inc.

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Weiss, G.M. (2005). Data Mining in Telecommunications. In: Maimon, O., Rokach, L. (eds) Data Mining and Knowledge Discovery Handbook. Springer, Boston, MA. https://doi.org/10.1007/0-387-25465-X_56

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  • DOI: https://doi.org/10.1007/0-387-25465-X_56

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-24435-8

  • Online ISBN: 978-0-387-25465-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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