Probabilistic graphical models in customer analytics: comparison with classical predictive models
This paper presents the application of different methods in order to have a complex vision on customers’ churn problem. It detects which algorithms can be used not only for churn prediction but also for churn prevention issues. Churn prevention analysis.
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The following general scientific and special research methods were used to solve the tasks of the paper, namely: critical analysis, comparative analysis, grouping, generalization, expert surveys, methods of statistical data processing, graphical method.
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