Diagnosis and Classification of Chronic Renal Failure Utilising Intelligent Data Mining Classifiers.
Abeer Y. Al-HyariAhmad M. Al-TaeeMajid A. Al-TaeePublished in: Int. J. Inf. Technol. Web Eng. (2014)
Keyphrases
- classification systems
- classification algorithm
- decision trees
- support vector
- intelligent data mining
- rule based classifier
- supervised classification
- classification models
- classification method
- svm classifier
- training set
- accurate classification
- classification accuracy
- class labels
- classification process
- k nearest neighbour
- nearest neighbor classifier
- binary classifiers
- machine learning methods
- training samples
- improves the classification accuracy
- multiple classifiers
- discriminant functions
- text classification
- classifier combination
- image classification
- classification rate
- correctly classified
- classification decisions
- decision boundary
- individual classifiers
- machine learning algorithms
- multiple classifier systems
- optimum path forest
- accurate classifiers
- multi category
- higher classification accuracy
- machine learning
- feature extraction
- feature selection
- feature space
- multiclass classification
- extracted features
- roc curve
- support vector machine svm
- classification procedure
- combining classifiers
- feature vectors
- model based diagnosis
- ensemble classifier
- fold cross validation
- probabilistic classifiers
- support vector machine
- feature set
- training data
- associative classifiers
- naive bayes
- feature subset
- discriminative classifiers
- root cause
- genetic algorithm
- svm classification
- majority voting