Results 91 to 100 of about 2,167,087 (189)

Customer Churn Prediction in Computer Security Software [PDF]

, 2019
One of the most valuable assets of any company is its customer; hence it is vital for a company to focus on customer retention strategy by its advantage over customer acquisi- tion. Customer churn prediction is a tool for increasing customer retention by
Dang, Quynh
core  

ChurnKB: A Generative AI-Enriched Knowledge Base for Customer Churn Feature Engineering

Algorithms
Customers are the cornerstone of business success across industries. Companies invest significant resources in acquiring new customers and, more importantly, retaining existing ones.
Maryam Shahabikargar, Amin Beheshti, Wathiq Mansoor, Xuyun Zhang, Eu Jin Foo, Alireza Jolfaei, Ambreen Hanif, Nasrin Shabani   +7 more
doaj   +1 more source

Customer churn prediction using machine learning and customer lifetime value analysis at Eurotel

, 2021
Every CFO should invest in getting to know the organisation’s customers. After all, building long-term and valuable customer relationships is an important driver of value creation.
Stouthuysen, Kristof, Verdonck, Tim, Decorte, Thomas, Van Der Schraelen, Lennert, Brié, Bjarne   +4 more
core  

Machine learning based customer churn prediction in home appliance rental business. [PDF]

J Big Data, 2023
Suh Y.
europepmc   +1 more source

Review of Data Mining Techniques for Churn Prediction in Telecom

Journal of Information and Organizational Sciences, 2015
Telecommunication sector generates a huge amount of data due to increasing number of subscribers, rapidly renewable technologies; data based applications and other value added service.
Vishal Mahajan, Richa Misra, Renuka Mahajan   +2 more
doaj  

Artificial Intelligence Based Customer Churn Prediction Model for Business Markets. [PDF]

Comput Intell Neurosci, 2022
Faritha Banu J, Neelakandan S, Geetha BT, Selvalakshmi V, Umadevi A, Martinson EO.   +5 more
europepmc   +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  

Application of machine learning techniques for churn prediction in the telecom business

Results in Engineering
The 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, D. Jayanthi, D.S. Shylu Sam, K. Kavitha, Naveen Kumar Maurya, T. Benil   +5 more
doaj   +1 more source

Clairvoyant: AdaBoost with Cost-Enabled Cost-Sensitive Classifier for Customer Churn Prediction. [PDF]

Comput Intell Neurosci, 2022
Thakkar HK, Desai A, Ghosh S, Singh P, Sharma G.   +4 more
europepmc   +1 more source

A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry

Journal of Big Data
In the telecom sector, predicting customer churn has increased in importance in recent years. Developing a robust and accurate churn prediction model takes time, but it is crucial.
Shimaa Ouf, Kholoud T. Mahmoud, Manal A. Abdel-Fattah   +2 more
doaj   +1 more source