An Empirical Study of Combined Classifiers for Knowledge Discovery on Medical Data Bases.
Lucelene LopesEdson Emílio ScalabrinPaulo FernandesPublished in: APWeb Workshops (2008)
Keyphrases
- knowledge discovery
- databases
- data mining
- medical databases
- training data
- support vector
- decision trees
- multiple classifiers
- data analysis
- naive bayes
- test set
- outlier detection
- machine learning algorithms
- knowledge discovery in databases
- machine learning
- data mining and knowledge discovery
- training samples
- medical data
- weighted majority voting
- medical diagnosis
- ensemble classifier
- medical domain
- individual classifiers
- ensemble learning
- classification algorithm
- text mining
- feature selection
- machine learning methods
- data mining tasks
- formal concept analysis
- combining multiple
- linear classifiers
- class labels
- data mining techniques
- medical knowledge
- classifier combination
- multi class
- bayesian networks
- information retrieval