Results 1 to 10 of about 17,092 (161)
PERANCANGAN SISTEM PREDIKSI CHURN PELANGGAN PT. TELEKOMUNIKASI SELULER DENGAN MEMANFAATKAN PROSES DATA MINING [PDF]
Jurnal Informatika, 2008 The purpose of this research is to design a customer churn prediction system using data mining approach. This system is able to perform data integration, data cleaning, data transformation, sampling and data splitting, prediction model building ...
Rajesri Govindaraju +2 more
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Behavioral attributes and financial churn prediction [PDF]
EPJ Data Science, 2018 Customer retention is crucial in a variety of businesses as acquiring new customers is often more costly than keeping the current ones. As a consequence, churn prediction has attracted great attention from both the business and academic worlds ...
Erdem Kaya +5 more
doaj +6 more sources
Churn prediction on huge telecom data using hybrid firefly based classification
Egyptian Informatics Journal, 2017 Churn prediction in telecom has become a major requirement due to the increase in the number of telecom providers. However due to the hugeness, sparsity and imbalanced nature of the data, churn prediction in telecom has always been a complex task.
Ammar A.Q. Ahmed, D. Maheswari
doaj +3 more sources
Churn Prediction for High-Value Players in Freemium Mobile Games: Using Random Under-Sampling [PDF]
Statistika: Statistics and Economy Journal, 2022 Many game development companies use game data analysis for mining insights about users' behaviour and possible product growth. One of the most important analysis tasks for game development is user churn prediction.
Guan-Yuan Wang
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Iraqi Journal for Computer Science and Mathematics, 2022 Due to the increasing competitiveness in telecom’s market, it has now become more necessary for operators to start building personal relationship with customers for targeted retention strategies.
Ayodeji O.J Ibitoye +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
doaj +1 more source
Churn prediction in online gambling
CoRR, 2022 14 pages, 3 figures Submitted to Expert Systems with ...
Merchie, Florian, Ernst, Damien
openaire +3 more sources
International Journal for Research in Engineering Application & ManagementOur work focuses on applying supervised machine learning techniques to anticipate bank client attrition. We created a straightforward and effective strategy that works with a variety of machine learning techniques. We tested many methods through tests and discovered that the Decision Tree strategy was the most effective in forecasting client attrition.
Lavina Anand Parulekar +3 more
+8 more sources
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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An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry [PDF]
PeerJ Computer Science, 2022 Mobile communication has become a dominant medium of communication over the past two decades. New technologies and competitors are emerging rapidly and churn prediction has become a great concern for telecom companies.
Syed Fakhar Bilal +4 more
doaj +2 more sources