Application of Machine Learning in the Telecommunications Industry: Partial Churn Prediction by using a Hybrid Feature Selection Approach

Fatemeh, Mozaffari; Iman, Raeesi Vanani; Payam, Mahmoudian; Babak, Sohrabi

Application of Machine Learning in the Telecommunications Industry: Partial Churn Prediction by using a Hybrid Feature Selection Approach

عنوان مقاله: Application of Machine Learning in the Telecommunications Industry: Partial Churn Prediction by using a Hybrid Feature Selection Approach
شناسه ملی مقاله: JR_JIST-11-44_006
منتشر شده در در سال 1401

مشخصات نویسندگان مقاله:

Fatemeh Mozaffari - Tehran
Iman Raeesi Vanani - Allameh Tabatabaei University
Payam Mahmoudian - University of Tehran
Babak Sohrabi - Tehran

خلاصه مقاله:

کلمات کلیدی:

Partial Churn

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1886401/