Data Mining Techniques on the Evaluation of Wireless Churn

  title={Data Mining Techniques on the Evaluation of Wireless Churn},
  author={Jorge Ferreira and Marley M. B. R. Vellasco and Marco Aur{\'e}lio Cavalcanti Pacheco and Carlos R. Hall Barbosa},
This work focuses on one of the most critical issues to plague the wireless telecommunications industry today: the loss of a valuable subscriber to a competitor, also defined as churn. Analytical methods and models intrinsic to decision technology and machine learning are here evaluated, in an effort to provide the necessary intelligence to identify and understand troublesome customers in order to act upon them before they churn. Making use of a large real-world database, a thorough analysis is… CONTINUE READING
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