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Article
Open AccessA comparative dimensionality reduction study in telecom customer segmentation using deep learning and PCA
Telecom Companies logs customer’s actions which generate a huge amount of data that can bring important findings related to customer’s behavior and needs. The main characteristics of such data are the large nu...
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Article
Open AccessCustomer churn prediction in telecom using machine learning in big data platform
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 field, companies are seeking t...
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Article
Open AccessPredicting customer’s gender and age depending on mobile phone data
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 and target the right customer...