Results 61 to 70 of about 2,799 (223)
Churn Prediction with Machine Learning
, 2022 Churn Prediction is used to predict if a particular customer has a high possibility of churn if there is still time to resolve this issue. • It aids businesses in gaining huge revenue potential.
Lim, Jing Yee +2 more
core
An Intelligent Customer Churn Prediction and Response Framework
, 2023 Customer retention is one of the most important issues for companies. Companies always seek to reduce customer churn in order to increase the customer lifetime value and reduce the cost of acquisition of new customers.
Tsai, TY, Prasad, M, Lin, CT
core +1 more source
The geography of economic mobility in 19th‐century Canada
Canadian Journal of Economics/Revue canadienne d'économique, EarlyView.Abstract This paper uses linked Census records from 1871 to 1901 to compute intergenerational mobility for Canadian regions and census divisions. The results reveal sharp differences in mobility over space: Ontario featured high relative and absolute mobility, Quebec low relative and absolute mobility and the Maritimes low absolute mobility.
Luiza Antonie +3 more
wiley +1 more source
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
Variable‐Rate Texture Compression: Real‐Time Rendering with JPEG
Computer Graphics Forum, EarlyView.Abstract Although variable‐rate compressed image formats such as JPEG are widely used to efficiently encode images, they have not found their way into real‐time rendering due to special requirements such as random access to individual texels. In this paper, we investigate the feasibility of variable‐rate texture compression on modern GPUs using the ...
Elias Kristmann +2 more
wiley +1 more source
, 2016 <p>Churn prediction (rawdata)</p ...
Kim, seungwook, Kim, seungwook (5201152)
core +1 more source
Churn prediction based on text mining and CRM data analysis [PDF]
, 2014 Within quantitative marketing, churn prediction on a single customer level has become a major issue. An extensive body of literature shows that, today, churn prediction is mainly based on structured CRM data.
Schatzmann, Anders +2 more
core +1 more source
Diabetes, Obesity and Metabolism, EarlyView.ABSTRACT Aim To evaluate the 12‐month effectiveness and patient persistence of a semaglutide‐supported digital weight‐loss service (DWLS) in a real‐world German cohort. Methods This retrospective study analysed 4535 patients who initiated the Juniper Germany DWLS. Primary endpoints included 12‐month medication and data submission adherence (receiving ≥
Louis Talay +3 more
wiley +1 more source
Collective churn prediction in social network
, 2012 —In service-based industries, churn poses a significant threat to the integrity of the user communities and profitability of the service providers. As such, research on churn prediction methods has been actively pursued, involving either intrinsic, user ...
ZHU, Feida +13 more
core +1 more source
Application of machine learning techniques for churn prediction in the telecom business
Results in EngineeringThe telecom business generates a significant amount of data on a daily basis due to its massive client base. Acquiring a fresh client base is more expensive than retaining existing customers, whereas churn refers to customers transitioning from one ...
Raji Krishna +5 more
doaj +1 more source