Abstract:In this research, a predictive model was developed using data mining techniques to analyze customer behavior, in order to identify and classify customers with a higher risk of defection in a Peruvian telecommunications company and thus, support the company in making accurate decisions and creating retention strategies. To achieve the main objective, the characteristics of the main data mining algorithms were analyzed based on the literature review, to determine the one that best suits the reality, obtaining th… Show more
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