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Churn prediction analysis of telecom customers using svm, random forest and logistic regression models using orange data mining tools [PDF]
E3S Web of ConferencesThis research aims to apply classification algorithms to telecommunication customer churn data using Orange Data Mining. The methods used include Support Vector Machine (SVM), Random Forest and Logistic Regression. The dataset used is secondary data, the
Nurtriana Ana +3 more
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The role of economic and psychological costs in service elimination [PDF]
, 2017 Service elimination (SE) requires systematic planning and execution to retain customers. However, service providers struggle with finding the best way to minimize customer churn following SE.
Kolos, Krisztina, Somosi, Ágnes
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Customer Churn in Subscription Business Model—Predictive Analytics on Customer Churn
BCP Business & Management, 2023 There is a growing tendency for more companies to develop towards a subscription business model. Under such a trend, it is important to learn about the customer churn rate within the business, learn from it and adjust business strategies accordingly.
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Telecommunications Customer Churn and Loyalty Intention [PDF]
Marketing and Management of Innovations, 2019 Nowadays the telecommunications sector is becoming very complex Because of the panoply of high-speed technological services. Customers are abandoning the services offered by telecommunications operators because of their dissatisfaction with the services they offer. «Churn» or the migration of customers from one telecommunications operator to another is
Mbarek, R., Baeshen, Ya.
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Social Sciences and Humanities OpenCustomer churn directly leads to the weakening of the economic efficiency of an operator and even the loss of its competitive advantage in the market share. The identification and prediction of customer churn in the era of interconnection has become more
Liu Kun +2 more
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Analysis and Classification of Customer Churn Using Machine Learning Models
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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A Non-Sequential Representation of Sequential Data for Churn Prediction [PDF]
, 2009 We investigate the length of event sequence giving best predictions when using a continuous HMM approach to churn prediction from sequential data. Motivated by observations that predictions based on only the few most recent events seem to be the most ...
A. Lemmens +8 more
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JOIV: International Journal on Informatics Visualization, 2023 The classification of churn is driven by the potential risks e-commerce companies face, such as losing customers who discontinue their service usage or churn.
Ilham Huda +2 more
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Factors Influence Customer Churn on Internet Service Provider in Indonesia
TIJAB (The International Journal of Applied Business), 2022 Rapid growth of internet users in Indonesia and the Covid-19 pandemic situation has prompted the emergence of new Internet Service Providers in line with the increasing demand for internet access.
Handi Aulia Triyafebrianda +1 more
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Subscriber churn in the Australian ISP market [PDF]
, 1913 Rapid growth in Internet use, combined with easy market entry by Internet service providers (ISPs), has resulted in a highly competitive supply of Internet services.
Madden, Gary G +2 more
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