In pursuit of enhanced customer retention management: Review, key issues, and future directions
In today's turbulent business environment, customer retention presents a significant
challenge for many service companies. Academics have generated a large body of research …
challenge for many service companies. Academics have generated a large body of research …
Barriers to academic data science research in the new realm of algorithmic behaviour modification by digital platforms
The era of behavioural big data has created new avenues for data science research, with
many new contributions stemming from academic researchers. Yet data controlled by …
many new contributions stemming from academic researchers. Yet data controlled by …
Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction
Z Liu, P Jiang, KW De Bock, J Wang, L Zhang… - … Forecasting and Social …, 2024 - Elsevier
Customer retention campaigns increasingly rely on predictive analytics to identify potential
churners in a customer base. Traditionally, customer churn prediction was dependent on …
churners in a customer base. Traditionally, customer churn prediction was dependent on …
Comparing oversampling techniques to handle the class imbalance problem: A customer churn prediction case study
Customer retention is a major issue for various service-based organizations particularly
telecom industry, wherein predictive models for observing the behavior of customers are one …
telecom industry, wherein predictive models for observing the behavior of customers are one …
The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics
Credit scoring is without a doubt one of the oldest applications of analytics. In recent years, a
multitude of sophisticated classification techniques have been developed to improve the …
multitude of sophisticated classification techniques have been developed to improve the …
Special issue on feature engineering editorial
In order to improve the performance of any machine learning model, it is important to focus
more on the data itself instead of continuously developing new algorithms. This is exactly the …
more on the data itself instead of continuously developing new algorithms. This is exactly the …
Customer churn prediction in the telecommunication sector using a rough set approach
Customer churn is a critical and challenging problem affecting business and industry, in
particular, the rapidly growing, highly competitive telecommunication sector. It is of …
particular, the rapidly growing, highly competitive telecommunication sector. It is of …
A survey on churn analysis in various business domains
In this paper, we present churn prediction techniques that have been released so far. Churn
prediction is used in the fields of Internet services, games, insurance, and management …
prediction is used in the fields of Internet services, games, insurance, and management …
An empirical comparison of techniques for the class imbalance problem in churn prediction
Class imbalance brings significant challenges to customer churn prediction. Many solutions
have been developed to address this issue. In this paper, we comprehensively compare the …
have been developed to address this issue. In this paper, we comprehensively compare the …
Improved churn prediction in telecommunication industry using data mining techniques
To survive in today's telecommunication business it is imperative to distinguish customers
who are not reluctant to move toward a competitor. Therefore, customer churn prediction has …
who are not reluctant to move toward a competitor. Therefore, customer churn prediction has …