Similarity Majority Under-Sampling Technique for Easing Imbalanced Classification Problem.
Jinyan LiSimon FongShimin HuRaymond K. WongSabah MohammedPublished in: AusDM (2017)
Keyphrases
- class imbalance
- imbalanced data
- classification accuracy
- feature extraction
- pattern classification
- pattern recognition
- decision trees
- similarity measure
- supervised learning
- classification algorithm
- classification rules
- class distribution
- automatic classification
- text classification
- machine learning
- imbalanced data sets
- distance measure
- support vector machine
- binary classification problems
- cost sensitive
- imbalanced datasets
- cost sensitive learning
- benchmark datasets
- classification models
- similarity function
- decision rules
- class labels
- distance function
- test set
- data sets
- machine learning algorithms
- support vector machine svm
- training samples
- feature set
- training set
- support vector
- learning algorithm
- neural network