An Approach to Imbalanced Data Classification Based on Instance Selection and Over-Sampling.
Ireneusz CzarnowskiPiotr JedrzejowiczPublished in: ICCCI (1) (2019)
Keyphrases
- instance selection
- imbalanced data classification
- feature selection
- nearest neighbor
- text classification
- support vector machine
- minority class
- multiple instance learning
- multi class
- data reduction
- supervised learning
- classification accuracy
- active learning
- random sampling
- semi supervised learning
- sampling methods
- knowledge discovery and data mining
- sampling algorithm
- evaluation criteria
- learning algorithm
- class imbalance
- classification error
- concept drift
- text categorization
- labeled data
- knn
- unlabeled data
- unsupervised learning
- association rules
- semi supervised