Results 41 to 50 of about 17,717 (205)

A Novel Genetic Algorithm Based Method for Building Accurate and Comprehensible Churn Prediction Models [PDF]

International Journal of Research in Industrial Engineering, 2013
Customer churn has become a critical problem for all companies in particular for those that are operating in service-based industries such as telecommunication industry. Data mining techniques have been used for constructing churn prediction models. Past
H. Abbasimehr, S. Alizadeh
doaj  

Behavioral Modeling for Churn Prediction: Early Indicators and Accurate Predictors of Custom Defection and Loyalty

, 2015
Churn prediction, or the task of identifying customers who are likely to discontinue use of a service, is an important and lucrative concern of firms in many different industries.
Blumenstock, Joshua, Khan, Muhammad R., Manoj, Johua, Singh, Anikate   +3 more
core   +1 more source

Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives

Business Strategy and the Environment, EarlyView.
ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh, Rsha Alghafes, Judit Petra Koltai, Sushant Kumar Vishnoi   +3 more
wiley   +1 more source

A consensus roadmap for post‐traumatic epilepsy: Clinical biomarkers, research priorities, policy barriers, and pathways to interventional trials

Epilepsia, EarlyView.
Abstract Understanding the mechanisms underlying post‐traumatic epilepsy (PTE) following traumatic brain injury (TBI), and developing strategies to prevent or modify its progression, has been the focus of large collaborative efforts within the epilepsy and TBI research communities for over a decade.
Elisa R. Zanier, Ilaria Lisi, Elaine K. O'Loughlin, Federico Moro, Edilberto Amorim, David L. Brody, Daniel J. Correa, Dominique Duncan, Pavel Klein, Firas H. Kobeissy, Wolfgang Löscher, Edward J. Needham, Asla Pitkänen, Mary Jo Pugh, Jack Somers, Annamaria Vezzani, Amy K. Wagner, Laura S. Lubbers, International Conference on PTE Attendees, Denes Agoston, Edilberto Amorim, Sneha Anand, Hibah Awwad, Ginevra Bayon, Naima Belhachemi, Akash Bera, Costanza Bertani, Guido Bertolini, David L. Brody, Serena Brusatori, Francesca Buffelli, Aurora Chiapperini, Mara Chioccola, Severn Churn, Daniel J. Correa, Ramon Diaz‐Arrastia, Chris Dulla, Dominique Duncan, Chiara Ferlito, Aristea Galanopoulou, Angela Galic, Heidi Matos Galicia, Bin Gu, William Haskins, Victoria Johnson, Nigel Jones, Lowie Joseph, Pavel Klein, Firas Kobaissy, Ilaria Lisi, David Loane, Luther Loose, Laura S. Lubbers, Wolfgang Löscher, Edoardo Mazzone, Melissa Miller, Federico Moro, Edward J. Needham, Irma Wati Ngadimon, Terence O’Brien, Elaine K. O’Loughlin, Asla Pitkanen, Mary Jo Pugh, Teresa Giovanna Ravizza, Giuseppe Remuzzi, Massimo Rizzi, Rossella Di Sapia, Tawfeeq Shekh‐Ahmad, Doug Smith, Jack Somers, Kevin Staley, Francesca Tribuzio, Alexandra Ulyanova, Gloria Vegliante, Annamaria Vezzani, Joost Wagenaar, Amy K. Wagner, Kevin W. Wang, Justin Weppner, Peter J. West, Karen Wilcox, John Wolf, Elisa R. Zanier   +82 more
wiley   +1 more source

Explaining customer churn prediction in telecom industry using tabular machine learning models

Machine Learning with Applications
The study addresses customer churn, a major issue in service-oriented sectors like telecommunications, where it refers to the discontinuation of subscriptions.
Sumana Sharma Poudel, Suresh Pokharel, Mohan Timilsina   +2 more
doaj   +1 more source

A Prediction Model of Customer Churn considering Customer Value: An Empirical Research of Telecom Industry in China

Discrete Dynamics in Nature and Society, 2021
Customer churn will cause the value flowing from customers to enterprises to decrease. If customer churn continues to occur, the enterprise will gradually lose its competitive advantage.
Ming Zhao, Qingjun Zeng, Ming Chang, Qian Tong, Jiafu Su   +4 more
doaj   +1 more source

Boosting Ant Colony Optimization with Reptile Search Algorithm for Churn Prediction

Mathematics, 2022
The telecommunications industry is greatly concerned about customer churn due to dissatisfaction with service. This industry has started investing in the development of machine learning (ML) models for churn prediction to extract, examine and visualize ...
Ibrahim Al-Shourbaji, Na Helian, Yi Sun, Samah Alshathri, Mohamed Abd Elaziz   +4 more
doaj   +1 more source

Ensemble of Example-Dependent Cost-Sensitive Decision Trees [PDF]

, 2015
Several real-world classification problems are example-dependent cost-sensitive in nature, where the costs due to misclassification vary between examples and not only within classes.
Aouada, Djamila, Bahnsen, Alejandro Correa, Ottersten, Bjorn   +2 more
core   +2 more sources

Technological Evolution in Fintech: A Decadal Scientometric and Systematic Review of Developments and Criticisms

International Journal of Finance &Economics, EarlyView.
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

FairRAG: A Privacy-Preserving Framework for Fair Financial Decision-Making

Applied Sciences
Customer churn prediction has become crucial for businesses, yet it poses significant challenges regarding privacy preservation and prediction accuracy.
Rashmi Nagpal, Unyimeabasi Usua, Rafael Palacios, Amar Gupta   +3 more
doaj   +1 more source