![]() Eventually, the most common techniques for predicting telecommunication churning such as classification, regression analysis, and clustering are included, thus presenting a roadmap for new researchers to build new churn management models.Īverage Daily Traffic (ADT) data are mostly used in transportation engineering for the purpose of planning and designing roads, pavement capacity designing, prioritizing road maintenance investments, accident studies, etc. It epitomizes the present literature in the field of communications by highlighting the impact of service quality on customer satisfaction, detecting churners in the telecoms industry, in addition to the sample size used, the churn variables used and the results of various DM technologies. This paper supplies a review of nearly 73 recent journalistic articles starting in 2003 to introduce the different DM techniques used in many customerbased churning models. Researchers around the world have conducted important research to understand the uses of Data mining (DM) that can be used to predict customers' churn. These data can be helpfully extracted for analysis and used for predicting churners. This satisfaction raises rivalry between firms to maintain the quality of their services and upgrade them. ![]() As well as better awareness of customer requirements and excellent quality that meets their satisfaction. ![]() The telecommunication sector has been developed rapidly and with large amounts of data obtained as a result of increasing in the number of subscribers, modern techniques, data-based applications, and services.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |