Classification of Imbalanced Data Using SMOTE and AutoEncoder Based Deep Convolutional Neural Network.
Suja A. AlexJ. Jesu Vedha NayahiPublished in: Int. J. Uncertain. Fuzziness Knowl. Based Syst. (2023)
Keyphrases
- imbalanced data
- imbalanced data sets
- convolutional neural network
- imbalanced datasets
- class imbalance
- class distribution
- classification models
- support vector machine
- linear regression
- feature selection
- highly skewed
- ensemble methods
- ensemble classifier
- random forest
- decision trees
- majority class
- sampling methods
- highly imbalanced
- svm classifier
- minority class
- class imbalanced
- decision boundary
- training samples
- high dimensionality
- support vector machine svm
- labeled data
- least squares
- ensemble learning
- classification accuracy
- support vector
- machine learning
- pattern classification