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.
| Рубрика | Менеджмент и трудовые отношения |
| Предмет | Management |
| Вид | дипломная работа |
| Язык | английский |
| Прислал(а) | Gritsay Polina Aleksandrovna |
| Дата добавления | 25.08.2020 |
| Размер файла | 1,3 M |
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