Results 131 to 140 of about 1,523,124 (234)
Customer churn prediction is a key application of predictive analytics in customer relationship management, enabling organisations to identify customers at risk of leaving and implement retention strategies.
Olasomi Labo-Popoola
doaj +1 more source
Machine learning based customer churn prediction in home appliance rental business. [PDF]
Suh Y.
europepmc +1 more source
We develop a patient flow model that integrates return loops and formulate a risk‐aware physician rostering framework designed to strictly enforce excess wait time targets, for example, tail probability of delay (TPoD) service levels. We employ a simulation‐based iterative staffing approach (ISA) to determine the optimal number of physicians required ...
Xu Dai, Peng Gao, Xiaolei Xie
wiley +1 more source
Artificial Intelligence Based Customer Churn Prediction Model for Business Markets. [PDF]
Faritha Banu J +5 more
europepmc +1 more source
Notes From the Editorial Collective
Anthropology of Work Review, Volume 47, Issue 2, December 2026.
Letizia Bonanno +2 more
wiley +1 more source
ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley +1 more source
Churn prediction in telecommunication industry using kernel Support Vector Machines. [PDF]
Y NN, Ly TV, Son DVT.
europepmc +1 more source
Patent for an improved churn dasher "to thoroughly agitate the cream at the center of the churn-body and also around the bottom of the walls thereof" (lines 13-15) and "also to cause tangential streams or currents at the bottom of the churn, so as to ...
Franklin, Edward R.
core
ABSTRACT Background Loneliness among young people is a growing concern, and life transitions can create significant upheaval in social networks. The scale of these changes and their association with loneliness remains underexplored. Objective This study examined retrospectively recalled changes in network composition and structure across the transition
Hannah Rachael Slack +8 more
wiley +1 more source
A novel customer churn prediction model for the telecommunication industry using data transformation methods and feature selection. [PDF]
Sana JK +3 more
europepmc +1 more source

