LVQ-SMOTE - Learning Vector Quantization based Synthetic Minority Over-sampling Technique for biomedical data.
Munehiro NakamuraYusuke KajiwaraAtsushi OtsukaHaruhiko KimuraPublished in: BioData Min. (2013)
Keyphrases
- learning vector quantization
- biomedical data
- class distribution
- minority class
- class imbalance
- knowledge driven
- class imbalanced
- imbalanced data
- self organizing maps
- data mining methods
- neural network
- cost sensitive
- training data
- life sciences
- systems biology
- data mining and knowledge discovery
- cost sensitive learning
- support vector machine
- decision boundary
- training set
- nearest neighbour
- data mining technology
- sampling methods
- real world
- multi source
- complex systems
- model selection
- feature vectors
- preprocessing
- learning algorithm