V Rupapara. (2022). Peer Review #1 of ’An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry (v0.2)’. Peer J, 2022. https://doi.org/10.7287/peerj-cs.854 v0.2/reviews/1
ISO-690 (author-date, English)V RUPAPARA, 2022. Peer Review #1 of ’An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry (v0.2)’ [online]. Peer J, 2022. Available from: https://peerj.com/articles/cs-854 v0.2/submission
Modern Language Association 9th editionV Rupapara. Peer Review #1 of ’An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry (v0.2)’. Peer J, 2022., 2022, https://doi.org/10.7287/peerj-cs.854 v0.2/reviews/1.
Mohr Siebeck - Recht (Deutsch - Österreich)V Rupapara: Peer Review #1 of ’An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry (v0.2)’, 2022.
Emerald - HarvardV Rupapara. (2022), Peer Review #1 of ’An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry (v0.2)’, Vol. , Peer J, 2022., available at:https://doi.org/10.7287/peerj-cs.854 v0.2/reviews/1.