Classification Algorithm Sensitivity to Training Data with Non Representative Attribute Noise.
Michael V. ManninoYanjuan YangYoung RyuPublished in: AMCIS (2007)
Keyphrases
- classification algorithm
- attribute noise
- training data
- class noise
- training set
- learning algorithm
- naive bayes
- class labels
- support vector machine
- noisy data
- agnostic learning
- training examples
- decision trees
- knn
- classification accuracy
- supervised learning
- k nearest neighbor
- data sets
- concept drift
- classification rules
- test set
- test data
- noise model
- class imbalance
- classification noise
- clustering algorithm
- class distribution
- active learning
- training samples
- cost sensitive
- machine learning algorithms
- uniform distribution
- positive examples
- probability estimation
- labeled data
- prior knowledge
- generalization error
- data quality
- training dataset
- learning process
- base learners
- neural network