Results 51 to 60 of about 9,090 (181)

A Comprehensive Evaluation of Machine Learning and Deep Learning Models for Churn Prediction

Information
Churn prediction has become one of the core concepts in customer relationship management within the insurances, telecom, and internet service provider industries, which is essential in customer retention.
Nabil M. AbdelAziz, Mostafa Bekheet, Ahmad Salah, Nissreen El-Saber, Wafaa T. AbdelMoneim   +4 more
doaj   +1 more source

Process Framework for Subscriber Management and Retention in Nigerian Telecommunication Industry [PDF]

, 2007
in the global telecommunication industry. Hence, a dominant approach for subscriber management and retention is churn control, since it is cheaper to retain an existing subscriber than acquiring a new one.
Daramola, Olawande, Oladipupo, O. O.
core  

Bagging and boosting classification trees to predict churn. [PDF]

In this paper, bagging and boosting techniques are proposed as performing tools for churn prediction. These methods consist of sequentially applying a classification algorithm to resampled or reweigthed versions of the data set. We apply these algorithms
Croux, Christophe, Lemmens, Aurélie
core   +3 more sources

Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature

IEEE Access
The telecommunications sector has experienced exponential growth since the year 2000, reaching 5.31 trillion users by 2022, generating 1.07 trillion in revenue for telecommunications companies.
David Freire, David Santos Mauricio Sanchez, Jose Luis Castillo Sequera, Daniel Fiallo Moncayo   +3 more
doaj   +1 more source

CTGAN-ENN: a tabular GAN-based hybrid sampling method for imbalanced and overlapped data in customer churn prediction

Journal of Big Data
Class imbalance is one of many problems of customer churn datasets. One of the common problems is class overlap, where the data have a similar instance between classes.
I Nyoman Mahayasa Adiputra, Paweena Wanchai   +1 more
doaj   +1 more source

A Data Mining Process Framework for Churn Management in Mobile Telecommunication Industry [PDF]

, 2009
Churning which is a sudden defection of a subscriber to competitors is a disturbing problem in the global telecommunication industry. However, the effectiveness of existing churn control strategies can be improved if an integrated approach that ...
Daramola, Olawande, Musa, G. A., Oladipupo, O. O.   +2 more
core  

Applied business analytics approach to IT projects – Methodological framework [PDF]

, 2017
The design and implementation of a big data project differs from a typical business intelligence project that might be presented concurrently within the same organization. A big data initiative typically triggers a large scale IT project that is expected
Ivanov, Penko, Zlatev, Vladimir
core  

Modeling churn using customer lifetime value. [PDF]

The definition and modeling of customer loyalty have been central issues in customer relationship management since many years. Recent papers propose solutions to detect customers that are becoming less loyal, also called churners.
Baesens, Bart, Croux, Christophe, Glady, Nicolas   +2 more
core  

Explaining customer churn prediction in telecom industry using tabular machine learning models

Machine Learning with Applications
The study addresses customer churn, a major issue in service-oriented sectors like telecommunications, where it refers to the discontinuation of subscriptions.
Sumana Sharma Poudel, Suresh Pokharel, Mohan Timilsina   +2 more
doaj   +1 more source

Predicting customer's gender and age depending on mobile phone data

, 2019
In the age of data driven solution, the customer demographic attributes, such as gender and age, play a core role that may enable companies to enhance the offers of their services and target the right customer in the right time and place.
Aljoumaa, Kadan, AlZuabi, Ibrahim Mousa, Jafar, Assef   +2 more
core   +1 more source