Improving classification accuracy using automatically extracted training data.
Ariel FuxmanAnitha KannanAndrew B. GoldbergRakesh AgrawalPanayiotis TsaparasJohn C. ShaferPublished in: KDD (2009)
Keyphrases
- automatically extracted
- improving classification accuracy
- training data
- classification accuracy
- support vector machine
- training set
- manually created
- learning algorithm
- bayesian classifiers
- test data
- data sets
- decision trees
- test set
- cross validation
- supervised learning
- training samples
- naive bayes
- prior knowledge
- noisy data
- class distribution
- support vector
- benchmark datasets
- feature subset
- bayesian classifier
- feature space