Comparison of Principal Component Analysis and Recursive Feature Elimination with Cross-Validation Feature Selection Algorithms for Customer Churn Prediction
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0248-4_15
Reference31 articles.
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3. Raja JB, Pandian SC (2020) An optimal ensemble classification for predicting churn in telecommunication. J Eng Sci Technol Rev 13:44–49. https://doi.org/10.25103/jestr.132.07
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5. Yulianti Y, Saifudin A (2020) Sequential feature selection in customer churn prediction based on Naive Bayes. IOP Conf Ser Mater Sci Eng 879:012090. https://doi.org/10.1088/1757-899X/879/1/012090
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