DC (Drought Classifier): Forecasting and Classification of Drought Using Association Rules.
B. Kavitha RaniA. GovardhanPublished in: FICTA (1) (2014)
Keyphrases
- association rules
- classification scheme
- classification method
- classification algorithm
- risk management
- classification rules
- classification process
- class labels
- associative classifiers
- feature selection
- classification rate
- feature space
- decision trees
- support vector machine
- nearest neighbor classifier
- support vector
- classification models
- decision support system
- classification accuracy
- multiple classifiers
- associative classification
- higher classification accuracy
- learning vector quantization
- k nearest neighbour
- binary classifiers
- rule sets
- feature set
- high classification accuracy
- decision boundary
- multiclass classification
- svm classifier
- association rule mining
- classifier combination
- feature extraction and classification
- knowledge discovery
- training set
- extracted features
- multi category
- feature vectors
- multiple classifier systems
- individual classifiers
- learning phase
- probabilistic classifiers
- data mining
- learning classifier systems
- data streams
- short term
- training samples
- image classification
- neural network
- bayesian classifier
- machine learning
- learning algorithm
- knn
- data mining techniques
- decision tree classifiers
- text classification
- pattern classification
- ensemble methods
- training process
- class imbalance
- supervised classification
- fold cross validation