[PDF][PDF] Predicting potential banking customer churn using apache spark ML and MLlib packages: a comparative study
H Sayed, MA Abdel-Fattah… - International Journal of …, 2018 - researchgate.net
This study was conducted based on an assumption that Spark ML package has much better
performance and accuracy than Spark MLlib package in dealing with big data. The used …
performance and accuracy than Spark MLlib package in dealing with big data. The used …
Analysis and prediction of churn customers for telecommunication industry
A Tiwari, R Sam, S Shaikh - … Conference on I-SMAC (IoT in …, 2017 - ieeexplore.ieee.org
New Telecom Companies providing various schemes and services to attract various
customers to get switch from competitor's service to their service because may be customers …
customers to get switch from competitor's service to their service because may be customers …
Edited Nearest Neighbors with SVM for Customer Churn Prediction in Spark
M Merabet, A Kourtiche - Artificial Intelligence and Heuristics for Smart …, 2022 - Springer
Nowadays, churn prediction is the most common Big Data application in the telecoms
industry, However, the characteristic of unbalanced classes in this kind of application opens …
industry, However, the characteristic of unbalanced classes in this kind of application opens …
Big data-driven framework for viral churn prevention: a case study
L Lucantoni, S Antomarioni, M Bevilacqua… - Management and …, 2020 - journals.pan.pl
In the Industry 4.0 era, with the introduction of IoT (Internet Of Things) and Big Data
concepts, the ICT (Information and Communications Technology) sector offers innovative …
concepts, the ICT (Information and Communications Technology) sector offers innovative …