Handling missing and outliers values by enhanced algorithms for an accurate diabetic classification system.
Elhossiny IbrahimMarwa A. ShoumanHanaa TorkeyAyman El-SayedPublished in: Multim. Tools Appl. (2021)
Keyphrases
- computationally efficient
- classification algorithm
- benchmark datasets
- classification scheme
- accurate classification
- classification accuracy
- missing values
- machine learning algorithms
- noisy data
- computational cost
- feature vectors
- theoretical analysis
- support vector machine svm
- decision trees
- feature selection
- neural network
- outlier mining
- automatic classification
- data reduction
- novelty detection
- classification rules
- outlier detection
- classification method
- missing data
- image classification
- support vector machine
- active learning
- preprocessing
- data structure
- learning algorithm
- machine learning