Results 51 to 60 of about 25,623,750 (294)

Churn Management in Telecommunications: Hybrid Approach Using Cluster Analysis and Decision Trees [PDF]

, 2021
The goal of the paper is to present the framework for combining clustering and classification for churn management in telecommunications. Considering the value of market segmentation, we propose a three-stage approach to explain and predict the churn in ...
Mirjana Pejić Bach, Božidar Jaković, Pivar, Jasmina, Jaković, Božidar, Jasmina Pivar, Pejić Bach, Mirjana   +5 more
core   +1 more source

Improved Customer Churn and Retention Decision Management Using Operations Research Approach

Emerging Markets Journal, 2017
The relevance of operations research cannot be overemphasized, as it provides the best possible results in any given circumstance, through analysis of operations and the use of scientific method thus, this paper explore the combination of two operations ...
Sulaimon Olanrewaju Adebiyi, Emmanuel Olateju Oyatoye, Bilqis Bolanle Amole   +2 more
doaj   +1 more source

Customer Churn Analysis Using Deep Reinforcement Learning Approach

International Journal For Multidisciplinary Research
Customer churn analysis is a critical component of business strategy in industries where retaining customers is essential for profitability and growth. This study aims to investigate the factors influencing customer churn in the telecommunications sector,
Taiyab Khan, Shakir Ali Idrisi, Dr. Harshali Patil, Dr. Jyotshna Dongradive   +3 more
semanticscholar   +1 more source

A Customer Profiling Methodology for Churn Prediction [PDF]

, 2008
As markets have become increasingly saturated, companies have acknowledged that their business strategies need to focus on identifying those customers who are most likely to churn. To address this, a method is required that can identify these customers,
Hadden, John
core  

Navigating the Double Edge of Product‐Service Systems: User Behavior, Adoption, and Rebound Effects

Business Strategy and the Environment, EarlyView.
ABSTRACT Product‐service systems (PSS) have been considered a promising approach to operationalizing the circular economy. Although many studies have outlined the potential sustainability gains of PSS solutions, it is still unclear what factors drive PSS adoption and how behavioral changes result in rebound effects, undermining their potential ...
Marina Fernandes Aguiar, Daniel Guzzo, Janaina Mascarenhas, Daniela C. A. Pigosso   +3 more
wiley   +1 more source

Experimental Analysis of Hyperparameters for Deep Learning-Based Churn Prediction in the Banking Sector

Computation, 2021
Until recently, traditional machine learning techniques (TMLTs) such as multilayer perceptrons (MLPs) and support vector machines (SVMs) have been used successfully for churn prediction, but with significant efforts expended on the configuration of the ...
Edvaldo Domingos, Blessing Ojeme, Olawande Daramola   +2 more
doaj   +1 more source

Case Studies in Applying Data Mining for Churn Analysis [PDF]

International Journal of Conceptual Structures and Smart Applications, 2017
The advent of price and product comparison sites now makes it even more important to retain customers and identify those that might be at risk of leaving. The use of data mining methods has been widely advocated for predicting customer churn. This paper presents two case studies that utilize decision tree learning methods to develop models for ...
Lomax, S, Vadera, S
openaire   +1 more source

Domain knowledge integration in data mining for churn and customer lifetime value modelling: new approaches and applications [PDF]

, 2009
The evaluation of the relationship with the customer and related benefits has become akey point for a company’s competitive advantage. Consequently, interest in keyconcepts, such as customer lifetime value and churn has increased over the years.However ...
de Oliveira Lima, Elen
core  

High‐frequency oscillations after acute hemorrhagic traumatic brain injury: insights into posttraumatic epilepsy development

Epilepsia, EarlyView.
Abstract Objective The development of posttraumatic epilepsy after traumatic brain injury (TBI) is potentially identifiable by measuring biomarkers of epileptogenesis, namely pathological high‐frequency oscillations (pHFOs). pHFOs are promising candidates, but it remains uncertain whether they can be detected early after TBI in clinical settings.
Kseniia Kriukova, Lin Li, Richard J. Staba, Misque Boswell, Tuba Asifriyaz, Rachel Thomas, James J. Gugger, Mohamad Shamas, Ramon Diaz‐Arrastia, Manuel Buitrago Blanco, Jerome Engel, Paul M. Vespa, Dominique Duncan, on behalf of the EpiBios4Rx investigators, Denes Agoston, Alicia K. Au, Michael Bell, Ben Churn, Jan Claassen, Ramon Diaz‐Arrastia, Jerome Engel, Brandon Foreman, Aristea Galanopoulou, Emily Gilmore, Martin Hunn, Nathalie Jette, Andrew Morokoff, Solomon L. Moshé, Terence O'Brien, Joshua Laing, Piero Perucca, Kristine H. O'Phelan, Asla Pitkanen, Eric Rosenthal, Frederick Willyerd, Lara Zimmermann, Ben Ellingson, Buitrago Blanco, Daniel Correa, Dana Harrar, Thomas P. Bleck, Brian Appavu, Aaron Struck, Baxter Allen, Inna Keselman, Jeff Kennedy, Victor Ferastraoaru, Ji Yeoun Yoo, Arthur W. Toga   +48 more
wiley   +1 more source

Infinite Unlimited Churn [PDF]

, 2016
We study unlimited infinite churn in peer-to-peer overlay networks. Under this churn, arbitrary many peers may concurrently request to join or leave the overlay network; moreover these requests may never stop coming.
Nesterenko, Mikhail, Tixeuil, Sébastien, Foreback, Dianne   +2 more
core   +4 more sources