Results 11 to 20 of about 25,623,750 (294)
An Improved Convolutional Neural Network for Churn Analysis [PDF]
International Journal of Advanced Computer Science and Applications, 2023 —The significance of customer churn analysis has escalated due to the increasing availability of relevant data and intensifying competition. Researchers and practitioners are focused on enhancing prediction accuracy in modeling approaches, with deep ...
Priya Gopal, Nazri Bin MohdNawi
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Analysis and Classification of Customer Churn Using Machine Learning Models [PDF]
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 Analysis studies of customer loss (customer churn) have been used for years to increase profitability and build customer relationships with companies.
Muhammad Maulana Sidiq Nurhidayat +1 more
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Customer churn analysis using XGBoosted decision trees [PDF]
Indonesian Journal of Electrical Engineering and Computer Science, 2022 Customer relationship management (CRM) is an important element in all forms of industry. This process involves ensuring that the customers of a business are satisfied with the product or services that they are paying for.
M. Vasudevan +3 more
semanticscholar +3 more sources
Linking Code and Documentation Churn: Preliminary Analysis [PDF]
2024 IEEE 35th International Symposium on Software Reliability Engineering Workshops (ISSREW)Code churn refers to the measure of the amount of code added, modified, or deleted in a project and is often used to assess codebase stability and maintainability. Program comprehension or how understandable the changes are, is equally important for maintainability.
Ani Hovhannisyan +3 more
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Churn management in hospitality [PDF]
Journal of Big DataThis research paper presents a novel churn management approach tailored to the hospitality industry. Focused on enhancing customer retention, the proposed model consists of two integral pillars: churn identification and proactive action.
Rik van Leeuwen, Hieu Duc Do, Ger Koole
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Integrated Churn Prediction and Customer Segmentation Framework for Telco Business
IEEE Access, 2021 In the telco industry, attracting new customers is no longer a good strategy since the cost of retaining existing customers is much lower. Churn management becomes instrumental in the telco industry.
Shuli Wu +3 more
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A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation
Future Internet, 2022 Numerous valuable clients can be lost to competitors in the telecommunication industry, leading to profit loss. Thus, understanding the reasons for client churn is vital for telecommunication companies.
Tianyuan Zhang +2 more
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Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2022 Today's rising cutting-edge technology requirements and competitive environment in telecommunication industry has gained a remarkable importance due to the COVID-19 pandemics in terms of high need of information sharing and remote communication necessity.
Handan Donat, Saliha Karadayı Usta
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Causal Analysis of Customer Churn Using Deep Learning [PDF]
, 2022 Customer churn describes terminating a relationship with a business or reducing customer engagement over a specific period. Two main business marketing strategies play vital roles to increase market share dollar- value: gaining new and preserving ...
Huo, H, Rudd, DH, Xu, G
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Customer Churn in Retail E-Commerce Business: Spatial and Machine Learning Approach
Journal of Theoretical and Applied Electronic Commerce Research, 2022 This study is a comprehensive and modern approach to predict customer churn in the example of an e-commerce retail store operating in Brazil. Our approach consists of three stages in which we combine and use three different datasets: numerical data on ...
Kamil Matuszelański +1 more
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