Author:
Naidu Gireen,Zuva Tranos,Sibanda Elias Mbongeni
Publisher
Springer International Publishing
Reference21 articles.
1. Hafez, H.A.A.: Mining big data in telecommunications industry: challenges, techniques, and revenue opportunity. world academy of science, engineering and technology. Int. J. Comput. Inf. Eng. 10, 1–10 (2016)
2. Umayaparvathi, V.: Applications of data mining techniques in telecom churn prediction. 42, 5–9 (2012)
3. Manzano-Machob, D.: The architecture of a churn prediction system based on stream mining (2013). https://doi.org/10.3233/978-1-61499-320-9-157
4. Olufemi, O.G., Strydom, T.: R A I S Research association for interdisciplinary studies churn forecasting model for South African pre-paid service providers (2018).https://doi.org/10.5281/zenodo.1196495
5. Constantinou, M.: Prepaid churn prediction (2014)