Results 91 to 100 of about 17,519 (197)
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 +2 more
core
The effect of tube diameter on vertical two-phase flow regimes in small tubes [PDF]
, 2006 Flow boiling flow patterns in four circular tubes with internal diameters of 1.10, 2.01, 2.88 and 4.26 mm were investigated in the present project. The experiments were conducted in vertical upward two-phase flow using R134a as the working fluid.
Chen, L, Karayiannis, TG, Tian, YS
core
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
Journal of Big DataClass 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 +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
A Data Imputation Strategy to Enhance Online Game Churn Prediction, Considering Non-Login Periods
DataUser 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 +2 more
doaj +1 more source
Customer churn prediction using composite deep learning technique. [PDF]
Sci Rep, 2023 Khattak A +5 more
europepmc +1 more source
An efficient churn prediction model using gradient boosting machine and metaheuristic optimization. [PDF]
Sci Rep, 2023 AlShourbaji I +5 more
europepmc +1 more source
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