Explainable AI for operational research: A defining framework, methods, applications, and a research agenda
The ability to understand and explain the outcomes of data analysis methods, with regard to
aiding decision-making, has become a critical requirement for many applications. For …
aiding decision-making, has become a critical requirement for many applications. For …
What do we know about customer churn behaviour in the telecommunication industry? A bibliometric analysis of research trends, 1985–2019
J Bhattacharyya, MK Dash - FIIB Business Review, 2022 - journals.sagepub.com
The literature on telecommunications customer churn behaviour has grown in importance
and volume since the early 2000s. This study performed a quantitative bibliometric …
and volume since the early 2000s. This study performed a quantitative bibliometric …
Dynamic behavior based churn prediction in mobile telecom
N Alboukaey, A Joukhadar, N Ghneim - Expert Systems with Applications, 2020 - Elsevier
Customer churn is one of the most challenging problems that affects revenue and customer
base in mobile telecom operators. The success of retention campaigns depends not only on …
base in mobile telecom operators. The success of retention campaigns depends not only on …
A data-driven approach to improve customer churn prediction based on telecom customer segmentation
Numerous valuable clients can be lost to competitors in the telecommunication industry,
leading to profit loss. Thus, understanding the reasons for client churn is vital for …
leading to profit loss. Thus, understanding the reasons for client churn is vital for …
Imbalanced customer churn classification using a new multi-strategy collaborative processing method
C Rao, Y Xu, X Xiao, F Hu, M Goh - Expert Systems with Applications, 2024 - Elsevier
The rapid advancement of big data and artificial intelligence heralds a dual-edged era of
opportunities and challenges for the banking sector. Indeed, enhancing a model's capability …
opportunities and challenges for the banking sector. Indeed, enhancing a model's capability …
Dynamic customer churn prediction strategy for business intelligence using text analytics with evolutionary optimization algorithms
In the digital era, innovations in business intelligence are critical to staying competitive and
popular across the growing business trends. Businesses have begun to investigate the next …
popular across the growing business trends. Businesses have begun to investigate the next …
Uplift modeling and its implications for B2B customer churn prediction: A segmentation-based modeling approach
Abstract Business-to-business (B2B) customer retention relies heavily on analytics and
predictive modeling to support decision making. Given this, we introduce uplift modeling as …
predictive modeling to support decision making. Given this, we introduce uplift modeling as …
Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management
One type of data-driven innovations in management is data-driven decision making.
Confronted with a big amount of data external and internal to their organization's managers …
Confronted with a big amount of data external and internal to their organization's managers …
To do or not to do? Cost-sensitive causal classification with individual treatment effect estimates
Individual treatment effect models allow optimizing decision-making by predicting the effect
of a treatment on an outcome of interest for individual instances. These predictions allow …
of a treatment on an outcome of interest for individual instances. These predictions allow …
Improving uplift model evaluation on randomized controlled trial data
B Bokelmann, S Lessmann - European Journal of Operational Research, 2024 - Elsevier
Estimating treatment effects is one of the most challenging and important tasks of data
analysts. Personalized medicine, digital marketing, and many other applications demand an …
analysts. Personalized medicine, digital marketing, and many other applications demand an …