Results 51 to 60 of about 4,013 (222)
A Comprehensive Evaluation of Machine Learning and Deep Learning Models for Churn Prediction
Churn prediction has become one of the core concepts in customer relationship management within the insurances, telecom, and internet service provider industries, which is essential in customer retention.
Nabil M. AbdelAziz +4 more
doaj +1 more source
Churning involves excessive trading by stockbrokers in order to generate commissions. Current practice uses the turnover ratio to detect excessive trading. The turnover ratio is a flawed indicator of the actual hartn of excessive trading which is commissions. This paper examines the intersection of law and financial analysis in the
openaire +1 more source
Abstract The Labour manifesto in this year's election implied a radical restructuring of the UK state, the way in which England is governed and in relations across the United Kingdom. The aim of making English devolution the ‘default option’ is set against fifty years of unsuccessful and partial devolution initiatives which have failed to reverse the ...
John Denham, Janice Morphet
wiley +1 more source
The purpose of this research is to design a customer churn prediction system using data mining approach. This system is able to perform data integration, data cleaning, data transformation, sampling and data splitting, prediction model building ...
Rajesri Govindaraju +2 more
doaj
Abstract In this article, the key dilemmas that will confront the new Labour administration in Britain during its initial period in power are examined. The Starmer government is seeking to use the state pragmatically to improve British economic performance, stem the crisis in public services and strengthen the strategic capacity of Whitehall.
Patrick Diamond +2 more
wiley +1 more source
Churn prediction analysis of telecom customers using svm, random forest and logistic regression models using orange data mining tools [PDF]
This research aims to apply classification algorithms to telecommunication customer churn data using Orange Data Mining. The methods used include Support Vector Machine (SVM), Random Forest and Logistic Regression. The dataset used is secondary data, the
Nurtriana Ana +3 more
doaj +1 more source
Based on ethnographic research at Rūm Orthodox Christian monasteries in Lebanon, the article studies scenes of Islam at the monastery as they intersect with anxious public debates on, and anthropological theorizations of, sectarianism and ‘Muslim–Christian’ relations in the Mashriq.
Aaron F. Eldridge
wiley +1 more source
Customer churn costs digital platforms billions annually, and growing evidence shows that churn exhibits contagion-like patterns across social networks, where a single departure is associated with elevated churn risk among connected users.
Zeji Lu +3 more
doaj +1 more source
THE URBANOLOGISTS COME TO TOWN: Professional Life and Work in the Urban Solutions Industry
Abstract This article charts the upsurge of an eclectic global community of professionals new to the field of urban policy and governance, animated by playful and celebratory attitudes towards cities and urbanization: the urbanologists. It contributes to debates in critical urban theory and critical ethnographies of technology to problematize ...
Rachel Bok
wiley +1 more source
ABSTRACT Using biographical methods, the study explores the lives of 34 young people undertaking engineering apprenticeships in Teesside, Northeast England. It examines why working‐class youth in a deindustrialised region might be attracted to engineering, how they might secure apprenticeship, and the invaluable role households play in orchestrating ...
Anoop Nayak, Graham Gaunt
wiley +1 more source

