Results 71 to 80 of about 1,692 (204)
Machine Learning–Based Customer Churn Prediction in Telecommunication Industry
Applied Computational Intelligence and Soft ComputingCustomer churn remains a major challenge in the telecommunications industry, where retaining existing customers is significantly more cost-effective than acquiring new ones.
Henry Nii-Armah Mettle +2 more
doaj +1 more source
Location‐Based Accessibility and Innovation Performance
Journal of Regional Science, Volume 66, Issue 2, Page 376-398, March 2026.ABSTRACT While the importance of local characteristics for innovation activities has been studied extensively, it remains largely unknown to which extent better transport‐based accessibilities facilitate innovation. This study builds on data from a Germany‐wide agent‐based transport model to derive local accessibilities for different modes of transport
Linda Bandelow, Hanna Hottenrott
wiley +1 more source
Sistemasi: Jurnal Sistem InformasiCustomer churn prediction is a crucial aspect of the banking industry for maintaining customer loyalty and reducing the cost of acquiring new customers.
Suluh Arif Wibowo +4 more
doaj +1 more source
, 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
Customer churn prediction in telecommunication industry using data certainty [PDF]
, 2018 Customer Churn Prediction (CCP) is a challenging activity for decision makers and machine learning community because most of the time, churn and non-churn customers have resembling features.
Jonathan Loo +11 more
core +1 more source
British Educational Research Journal, Volume 52, Issue 1, Page 481-516, February 2026.Abstract Higher education in the United Kingdom has dramatically expanded in recent decades, along with questions about its effectiveness in preparing graduates for the labour market. With rising tuition fees and increasing competition for graduate jobs, many students opt to study ‘professional’ subjects—fields closely tied to specific professions ...
Sarah Pemberton
wiley +1 more source
Customer Churn Prediction System: A Guided Web Work-flow for Local Training, Prediction, and Explainable Out-puts [PDF]
ITM Web of ConferencesCustomer churn—the event of a customer discontinuing a service—directly affects revenue and retention planning. This paper presents a Customer Churn Prediction System implemented as a guided web workflow that turns churn modeling into an interactive ...
Menaka G. +2 more
doaj +1 more source
Modeling churn using customer lifetime value. [PDF]
The definition and modeling of customer loyalty have been central issues in customer relationship management since many years. Recent papers propose solutions to detect customers that are becoming less loyal, also called churners.
Croux, Christophe +2 more
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Customer churn prediction by hybrid neural networks [PDF]
, 2012 [[abstract]]As churn management is a major task for companies to retain valuable customers, the ability to predict customer churn is necessary. In literature, neural networks have shown their applicability to churn prediction.
蔡志豐;Tsai, Chih-Fong;盧鈺欣;Lu, Yu-Hsin
core
A century of art dealing in New York. The rise of American art
The Economic History Review, Volume 79, Issue 1, Page 281-311, February 2026.Abstract We study art trade in New York between 1870 and 1970, analysing returns on investment by the renowned Knoedler gallery to shed light on the evolution of the American art market. A generalist art gallery should allocate investments to equalize expected returns, with differences in effective returns depending on purchase prices, number of traded
Federico Etro, Elena Stepanova
wiley +1 more source