A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry
Journal of Big DataIn the telecom sector, predicting customer churn has increased in importance in recent years. Developing a robust and accurate churn prediction model takes time, but it is crucial.
Shimaa Ouf +2 more
doaj +1 more source
JOIV: International Journal on Informatics VisualizationThis study aims to examine the effect of customer experience on customer retention at DQLab Telco, using machine learning techniques to predict customer churn.
Kusnawi Kusnawi +5 more
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Clairvoyant: AdaBoost with Cost-Enabled Cost-Sensitive Classifier for Customer Churn Prediction. [PDF]
Comput Intell Neurosci, 2022 Thakkar HK +4 more
europepmc +1 more source
An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry. [PDF]
PeerJ Comput Sci, 2022 Fakhar Bilal S +4 more
europepmc +1 more source
Utilizing data sampling techniques on algorithmic fairness for customer churn prediction with data imbalance problems. [PDF]
F1000Res, 2021 Maw M, Haw SC, Ho CK.
europepmc +1 more source
Revisiting the Use of Customer Information for CRM [PDF]
For the past decade, customer relationship management (CRM) has been one of the priorities in marketing research and practice. However, many of the CRM systems did not perform as the companies expected.
Becker, Jan U., Reimer, Kerstin
core
DATA MINING AND THE PROCESS OF TAKING DECISIONS IN EBUSINESS [PDF]
Data mining software allows users to analyze large databases to solve business decision problems. Data mining is, in some ways, an extension of statistics, with a few artificial intelligence and machine learning twists thrown in.
Ana Maria Mihaela Tudorache
core
A Novel Genetic Algorithm Based Method for Building Accurate and Comprehensible Churn Prediction Models [PDF]
International Journal of Research in Industrial Engineering, 2013 Customer churn has become a critical problem for all companies in particular for those that are operating in service-based industries such as telecommunication industry. Data mining techniques have been used for constructing churn prediction models. Past
H. Abbasimehr, S. Alizadeh
doaj
Implications of Mandatory Registration of Mobile Phone Users in Africa [PDF]
Sub-Saharan Africa ranks among the top regions in terms of growth in the number of mobile phone users. The success of mobile telephony is attributed to the opening of markets for private players and lenient regulatory policy.
Nicola Jentzsch
core
Enhancing customer retention in telecom industry with machine learning driven churn prediction
Scientific ReportsCustomer churn remains a critical concern for businesses, highlighting the significance of retaining existing customers over acquiring new ones. Effective prediction of potential churners aids in devising robust retention policies and efficient customer ...
Alisha Sikri +3 more
doaj +1 more source