Results 101 to 110 of about 9,076 (200)

Review of Data Mining Techniques for Churn Prediction in Telecom

Journal of Information and Organizational Sciences, 2015
Telecommunication sector generates a huge amount of data due to increasing number of subscribers, rapidly renewable technologies; data based applications and other value added service.
Vishal Mahajan, Richa Misra, Renuka Mahajan   +2 more
doaj  

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

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

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

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

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  

Enhancing customer retention in telecom industry with machine learning driven churn prediction

Scientific Reports
Customer 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, Roshan Jameel, Sheikh Mohammad Idrees, Harleen Kaur   +3 more
doaj   +1 more source