Table 1 Related works
From: Developing a prediction model for customer churn from electronic banking services using data mining
Researcher and survey year | Industry | Research methodology |
|---|---|---|
Guo-en and Wei-dong (2008) | Telecommunication | Support vector machine, decision tree c4.5, logistic regression, naĂŻve Bayes |
Anil Kumar and Ravi (2008) | Bank | Multilayer perceptron, logistic regression, decision tree, random forest, radial basis function network, support vector machine techniques |
Nie et al. (2011) | Financial | Logistic regression, decision tree |
Lin et al. (2011) | Bank | Rough set theory, rule-based decision-making technique, flow network graph |
Huang et al. (2012) | Telecommunication | Logistic regression, linear classifier, naĂŻve Bayes, decision tree, multilayer perceptron neural networks, support vector machines |
Sharma and Panigrahi (2011) | Telecommunication | Neural networks |
Yu et al. (2011) | Electronic business | Neural networks, support vector machine, decision tree, extended support vector machine |
Farquad et al. (2014) | Bank | Support vector machine, naĂŻve Bayes, tree rules |
Keramati et al. (2014) | Telecommunication | Decision tree, neural networks, support vector machine, k-nearest neighbors |