Results 111 to 120 of about 2,799 (223)

Churn Prediction pada Telekomunikasi Seluler dengan Metode Bagging dan Boosting [PDF]

, 2008
ABSTRAKSI: Churn Prediction merupakan salah satu aplikasi data mining yang bertujuan untuk memprediksi para pelanggan yang berpotensial untuk churn. Churn Prediction merupakan salah satu kasus kelas imbalance dan churn merupakan kelas minor .
Ina Rofi\u27atun Nasihati
core  

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

Research on customer churn prediction and model interpretability analysis. [PDF]

PLoS One, 2023
Peng K, Peng Y, Li W.
europepmc   +1 more source

Predictive Churn with the Set of Good Models

CoRR
Issues can arise when research focused on fairness, transparency, or safety is conducted separately from research driven by practical deployment concerns and vice versa. This separation creates a growing need for translational work that bridges the gap between independently studied concepts that may be fundamentally related.
Jamelle Watson-Daniels, Flávio du Pin Calmon, Alexander D'Amour, Carol Xuan Long, David C. Parkes, Berk Ustun   +5 more
openaire   +2 more sources

Client churn prediction with call log analysis

, 2018
© Springer International Publishing AG, part of Springer Nature 2018. Client churn prediction is a classic business problem of retaining customers. Recently, machine learning algorithms have been applied to predict client churn and have shown promising ...
Vo, NNY, Nhi N. Y. Vo, James Brownlow, Brownlow, J, Charles Chu, Culbert, B, Liu, S, Shaowu Liu, Guandong Xu, Chu, C, Xu, G, Ben Culbert   +11 more
core   +1 more source

A Data Imputation Strategy to Enhance Online Game Churn Prediction, Considering Non-Login Periods

Data
User churn in online games refers to players becoming inactive for an extended period. Even a small increase in churn can lead to significant revenue loss, making churn prediction crucial for sustaining long-term player engagement.
JaeHong Lee, Pavinee Rerkjirattikal, SangGyu Nam   +2 more
doaj   +1 more source

Customer churn prediction using composite deep learning technique. [PDF]

Sci Rep, 2023
Khattak A, Mehak Z, Ahmad H, Asghar MU, Asghar MZ, Khan A.   +5 more
europepmc   +1 more source

ENHANCEMENT OF CHURN PREDICTION ALGORITHMS

, 2010
Customer churn can be described as the process by which consumers of goods and services discontinue the consumption of a product or service and switch over to a competitor.It is of great concern to many companies.
Anyanwu, Matthew N
core  

An efficient churn prediction model using gradient boosting machine and metaheuristic optimization. [PDF]

Sci Rep, 2023
AlShourbaji I, Helian N, Sun Y, Hussien AG, Abualigah L, Elnaim B.   +5 more
europepmc   +1 more source

Predicting Customer Churn

, 2022
The focus of this project is in predicting customer churn. It is essential to consider and handle the imbalance problem, that is why this project explains the imbalance problem, states its importance and presents some methods to handle it. It continues to describe the algorithms of three classification algorithms; logistic regression, classification ...
openaire   +1 more source