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Telco Churn Predictor

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dc.contributor.author Weerasekera, Namakl
dc.date.accessioned 2024-06-04T09:20:47Z
dc.date.available 2024-06-04T09:20:47Z
dc.date.issued 2023
dc.identifier.citation Weerasekera, Namakl (2023) Telco Churn Predictor. MSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2017478
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/2188
dc.description.abstract "The Telco industry mainly provides prepaid and postpaid mobile packages. Customers select the package based on the information and feedback provided by users. Identifying the package which the particular customer is based on user behaviour and the patterns are continuously changing. Telco marketing officers are keener on introducing postpaid packages to customers as it leads to high revenue and loyal customers. Analysing customer behaviour over a long period of time is challenging and performing the analysis on a large customer base is not feasible. Hence, there is a need for a model that could learn user patterns from historical data and predict a user base with high confidence who are more likely to churn. As prediction is methodical and explainable, the sales officers could promote packages that would not lead to spam for customers." en_US
dc.language.iso en en_US
dc.subject Teco Bigdata Prediction analysis en_US
dc.title Telco Churn Predictor en_US
dc.type Thesis en_US


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