Combining Multiple Classifiers for Text Categorization.
Khalid Al-KofahiAlex TyrrellArun VachherTim TraversPeter JacksonPublished in: CIKM (2001)
Keyphrases
- text categorization
- combining multiple
- multiple classifiers
- individual classifiers
- combining classifiers
- naive bayes
- feature selection
- fusion methods
- text classifiers
- ensemble pruning
- text classification
- feature reduction
- reuters corpus
- feature selection and classifier
- linear svm
- knn
- multi label
- support vector
- multiple features
- information gain
- automatic text categorization
- k nearest neighbor
- training data
- feature weighting
- text collections
- decision trees
- text documents
- cluster ensemble
- unlabeled data
- active learning
- text clustering
- term frequency
- neural network
- classification algorithm
- semi supervised learning
- dimensionality reduction
- feature set
- feature vectors
- high dimensional
- data analysis
- training samples
- machine learning