Zobrazeno 1 - 10
of 1 144
pro vyhledávání: '"customer churn"'
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-31 (2024)
Abstract Customer churn is a common problem faced by many industries, including telecommunication industries. This has resulted in the development of advanced techniques for the prediction and prevention of customer churn. The availability of stored
Externí odkaz:
https://doaj.org/article/433ff6ea5d0f41e4858a27ff9b55013a
Autor:
Moien Mahdi, Mehdi Jabbari
Publikováno v:
Mathematics and Computational Sciences, Vol 5, Iss 3, Pp 58-79 (2024)
The non-contractual environment, many brands, and substitute products make customer retention relatively tricky in the fast-moving consumer goods market. In addition, there is no such thing as a completely loyal customer, as most buyers purchase from
Externí odkaz:
https://doaj.org/article/da75de32afa4498fab52fd0c9690e998
Autor:
Ngo Van-Binh, Vu Van-Hieu
Publikováno v:
Cybernetics and Information Technologies, Vol 24, Iss 3, Pp 3-20 (2024)
This study presents a novel multi-level Stacking model designed to enhance the accuracy of customer churn prediction in the banking sector, a critical aspect for improving customer retention. Our approach integrates four distinct machine-learning alg
Externí odkaz:
https://doaj.org/article/9b40dfc943314f9bb824f544621f67a6
A novel classification algorithm for customer churn prediction based on hybrid Ensemble-Fusion model
Autor:
Chenggang He, Chris H. Q. Ding
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract Nowadays, customer churn issues are becoming more and more important, which is one of the most important metrics for evaluating the health of a business it is difficult to measure success without measuring customer churn metrics. However, it
Externí odkaz:
https://doaj.org/article/93786b4b19a24e8889a9b61504783e19
Autor:
Kathi Chandra Mouli, Ch. V. Raghavendran, V. Y. Bharadwaj, G. Y. Vybhavi, C. Sravani, Khristina Maksudovna Vafaeva, Rajesh Deorari, Laith Hussein
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
The rapid expansion of technical infrastructure has brought about transformative changes in business operations. A notable consequence of this digital evolution is the proliferation of subscription-based services. With an increasing array of options
Externí odkaz:
https://doaj.org/article/d9cd171a8db543a0aafb54cdcc81207a
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Customer churn remains a critical concern for businesses, highlighting the significance of retaining existing customers over acquiring new ones. Effective prediction of potential churners aids in devising robust retention policies and effici
Externí odkaz:
https://doaj.org/article/e68ee702ccf245088b4980114c020f65
Publikováno v:
Fountain Journal of Natural and Applied Sciences (FUJNAS), Vol 13, Iss 2 (2024)
Nowadays, there is no shortage of options for customers when choosing where to put their money. As a result, customer churn and engagement have become one of the top issues. With the increase in the number of service providers for the same targeted p
Externí odkaz:
https://doaj.org/article/1fa0fdc659b94b3e8c33b0644e91f209
Publikováno v:
Machine Learning with Applications, Vol 17, Iss , Pp 100567- (2024)
The study addresses customer churn, a major issue in service-oriented sectors like telecommunications, where it refers to the discontinuation of subscriptions. The research emphasizes the importance of recognizing customer satisfaction for retaining
Externí odkaz:
https://doaj.org/article/7a4b5b84480d41ed959c3452101ca02a
Autor:
Babak Amiri, Seyed Hasan Hosseini
Publikováno v:
IEEE Access, Vol 12, Pp 71271-71285 (2024)
Customer churn is a significant concern for firms due to the high cost of acquiring new customers. The expenditure related to developing new consumers surpasses that of customer retention. Customer churn prediction models were given to analyze the im
Externí odkaz:
https://doaj.org/article/80a5755fe4db42b49cdb79174c1d0ad2
Publikováno v:
AIMS Mathematics, Vol 9, Iss 2, Pp 2781-2807 (2024)
In today's competitive market, predicting clients' behavior is crucial for businesses to meet their needs and prevent them from being attracted by competitors. This is especially important in industries like telecommunications, where the cost of acqu
Externí odkaz:
https://doaj.org/article/8d602adc050b44c488b628bf37295a5a