Optimizing between data transformation and parametric weighting for stable binary classification.
Kangrok OhZhengguo LiBeom-Seok OhKar-Ann TohPublished in: J. Frankl. Inst. (2018)
Keyphrases
- binary classification
- data transformation
- data integration
- multi class
- support vector
- cost sensitive
- learning problems
- data quality
- data mining
- privacy preserving
- generalization error
- functional dependencies
- multi label
- support vector machine
- ensemble methods
- data warehousing
- class imbalance
- prediction accuracy
- privacy preserving data mining
- dimensionality reduction
- databases
- active learning
- privacy preservation
- semi supervised learning
- database management systems
- data management
- data model
- feature vectors
- pattern recognition
- database systems
- feature selection
- machine learning
- database