Handling imbalanced data in customer churn prediction using combined sampling and weighted random forest

Author:

Effendy Veronikha,Adiwijaya ,Baizal Z. K. A.

Publisher

IEEE

Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A new computer‐aided diagnostic method for classifying anaemia disease: Hybrid use of Tree Bagger and metaheuristics;Expert Systems;2023-12-28

2. Prediction of Hypertension in the Upcoming Year: Feature Correlation Analysis and Handling Imbalanced Based on Random Forest;2023 Eighth International Conference on Informatics and Computing (ICIC);2023-12-08

3. Improvement of Imbalanced Data Handling: A Hybrid Sampling Approach by using Adaptive Synthetic Sampling and Tomek links;2023 Eighth International Conference on Informatics and Computing (ICIC);2023-12-08

4. Müşteri Kaybı Tahmini için Yeniden Örnekleme ve Topluluk Yöntemleri;Bilişim Teknolojileri Dergisi;2023-10-31

5. Handling Data Imbalance In Linear Modelling of Fatality Rate of Auto Collision;Proceedings of the 2023 6th International Conference on Information Science and Systems;2023-08-11

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