Results 111 to 120 of about 9,240 (196)

Application of machine learning techniques for churn prediction in the telecom business

Results in Engineering
The telecom business generates a significant amount of data on a daily basis due to its massive client base. Acquiring a fresh client base is more expensive than retaining existing customers, whereas churn refers to customers transitioning from one ...
Raji Krishna, D. Jayanthi, D.S. Shylu Sam, K. Kavitha, Naveen Kumar Maurya, T. Benil   +5 more
doaj   +1 more source

A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry

Journal of Big Data
In 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, Kholoud T. Mahmoud, Manal A. Abdel-Fattah   +2 more
doaj   +1 more source

Clairvoyant: AdaBoost with Cost-Enabled Cost-Sensitive Classifier for Customer Churn Prediction. [PDF]

Comput Intell Neurosci, 2022
Thakkar HK, Desai A, Ghosh S, Singh P, Sharma G.   +4 more
europepmc   +1 more source

Applying CHAID for logistic regression diagnostics and classification accuracy improvement [PDF]

In this study a CHAID-based approach to detecting classification accuracy heterogeneity across segments of observations is proposed. This helps to solve some important problems, facing a model-builder: 1. How to automatically detect segments in which the
Antipov, Evgeny, Pokryshevskaya, Elena
core   +1 more source

Leveraging Various Feature Selection Methods for Churn Prediction Using Various Machine Learning Algorithms

JOIV: International Journal on Informatics Visualization
This 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, Joang Ipmawati, Bima Pramudya Asadulloh, Afrig Aminuddin, Ferian Fauzi Abdulloh, Majid Rahardi   +5 more
doaj   +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, Ali Almazroi A, Bashir S, Hassan Khan F, Ali Almazroi A.   +4 more
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  

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

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  

A Predictive Analysis of Customer Churn

, 2023
Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased ...
Eskils, Olivia, Backman, Anna
openaire   +1 more source