423 citations · 465 across the 2 of their papers we have counts for
2 papers
cs.CY2019★ 423 cited
Customer churn prediction in telecom using machine learning and social network analysis in big data platform
Abdelrahim Kasem Ahmad, Assef Jafar, Kadan Aljoumaa
Customer churn is a major problem and one of the most important concerns for large companies. Due to the direct effect on the revenues of the companies, especially in the telecom f…
cs.LG2019★ 42 cited
Predicting customer's gender and age depending on mobile phone data
Ibrahim Mousa AlZuabi, Assef Jafar, Kadan Aljoumaa
In the age of data driven solution, the customer demographic attributes, such as gender and age, play a core role that may enable companies to enhance the offers of their services…