Now showing items 1-2 of 2
Extracting Meta Knowledge from Machine Learning and Data Mining Algorithm
Extracting meta-knowledge from real-world meta-data is a challenging task, which is a fundamental conceptual instrument for knowledge engineering and knowledge management. Meta-knowledge is a knowledge that learns to ...
Correlation-Based Feature Grouping with Decision Tree for Classifying High-Dimentional Imbalanced Data
Classifying high-dimensional imbalanced data is a big challenge in mining real-world big data. Existing algorithms are classifying the majority class instances and get the maximum classification accuracy and minority ...