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Cited by 246 publications
(132 citation statements)
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“…For example, Tsai et al made use of the DT and ANN for customer churn predictions for videoon-demand service [33], while Huang et al used 7 machine learning methods to predict customer churn for mobile communications companies [34]. Research related to customer churn predictions showed that machine learning methods, such as ANN, DT and BN, have relatively good prediction results; therefore, we have also selected these methods for predicting students dropping out in this study.…”
Section: Machine Learning Techniquesmentioning
confidence: 99%
“…For example, Tsai et al made use of the DT and ANN for customer churn predictions for videoon-demand service [33], while Huang et al used 7 machine learning methods to predict customer churn for mobile communications companies [34]. Research related to customer churn predictions showed that machine learning methods, such as ANN, DT and BN, have relatively good prediction results; therefore, we have also selected these methods for predicting students dropping out in this study.…”
Section: Machine Learning Techniquesmentioning
confidence: 99%
“…Many domains such as banks, mobile phone companies, internet service providers and supermarkets use churn analysis and churn rates as a key business metric as it has been shown that the cost of retaining an existing customer is less than the cost of acquiring new customers (Wei & Chiu 2002;Hung et al, 2006;Huang et al, 2012). These existing customers tend to purchase more than new customers and it is more efficient to deal with existing customers than dealing with new customers (Fornell & Wernerfelt 1987;1988;Reichheld & Sasser 1990;Bolton 1998).…”
Section: %$And*5281'mentioning
confidence: 99%
“…Organizations in many different domains such as wireless telecommunication and the telecommunication industry (Huang et al, 2012, Keramati, 2014, Mahajan et al, 2015, mobile phone (Kirui et al, 2013), internet service providers (Khan et al, 2010), energy providers and other industries such as insurance, retail banking (Mutanen et al, 2006), financial services and supermarkets are having increasing difficulty in attracting and retaining customers as reported by Shandiz (2015). This is in part owing to customers being able to access information regarding brands, products and price comparisons on many internet comparison websites (Mahajan et al, 2015).…”
mentioning
confidence: 99%
“…Logistic Regression, as described by [15] is a method used to test a hypothesis pertaining to the relationships between categorical variables. As stated by [16] Logistic Regression is easy to use and provides quick and robust results.…”
Section: Data Mining Techniquesmentioning
confidence: 99%