Use of Machine Learning Techniques in Telecommunications

Modern telecommunications companies own large amounts of data that varies from transmitted traffic to customer actions and user information. Therefore, research focused on methods and methodological developments for working with information in this field, as well as legal issues, is of great importance nowadays. The present paper is devoted to the study of possibilities of using machine learning techniques in the field of telecommunications. Definitions of concepts are given, the premises and scenarios of using machine learning for various business tasks of the telecommunications industry are considered; theoretical foundations of the corresponding methods are analyzed. Possible data sources are analyzed as well, the results of tests on an open dataset are presented in a separate chapter. The present research is of interest to both business community and academics involved in the field of machine learning.