Handling Data Imbalance In Linear Modelling of Fatality Rate of Auto Collision
Author:
Affiliation:
1. Global Management Studies, TRSM, Toronto Metropolitan University, Canada
2. Mathematics and Statistics Department, University of Guelph, Canada
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3625156.3625169
Reference18 articles.
1. Imbalanced Data Learning Approaches Review
2. Nitesh V Chawla . 2010. Data mining for imbalanced datasets: An overview. Data mining and knowledge discovery handbook ( 2010 ), 875–886. Nitesh V Chawla. 2010. Data mining for imbalanced datasets: An overview. Data mining and knowledge discovery handbook (2010), 875–886.
3. SMOTE: Synthetic Minority Over-sampling Technique
4. Handling imbalanced data in customer churn prediction using combined sampling and weighted random forest
5. Preprocessing unbalanced data using support vector machine
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