Adaptive Learning-Based $k$ -Nearest Neighbor Classifiers With Resilience to Class Imbalance.
Sankha Subhra MullickShounak DattaSwagatam DasPublished in: IEEE Trans. Neural Networks Learn. Syst. (2018)
Keyphrases
- adaptive learning
- k nearest neighbor
- class imbalance
- knn
- minority class
- classification algorithm
- feature selection
- knn classifier
- class distribution
- concept drift
- nearest neighbor
- active learning
- nearest neighbour
- imbalanced data
- support vector machine
- training set
- majority voting
- cost sensitive
- training data
- text categorization
- learning objects
- support vector
- neural network
- high dimensionality
- binary classification
- test set
- learning resources
- support vector machine svm
- naive bayes
- text classification
- decision boundary
- e learning
- svm classifier
- class labels
- reinforcement learning
- training samples
- multi class
- learning environment
- binary classifiers
- ensemble classifier
- decision trees
- learning algorithm
- data analysis
- data mining