A novel random forest approach for imbalance problem in crime linkage.
Yu-Sheng LiHong ChiXueyan ShaoMing-Liang QiBao-Guang XuPublished in: Knowl. Based Syst. (2020)
Keyphrases
- random forest
- imbalanced data
- decision trees
- random forests
- feature set
- fold cross validation
- multi label
- feature importance
- class distribution
- decision tree learning algorithms
- imbalanced datasets
- ensemble methods
- machine learning
- rotation forest
- ensemble learning
- base classifiers
- multi class
- classification models
- prediction accuracy
- text classification
- knn
- image segmentation
- data sets