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Extracting Meta Knowledge from Machine Learning and Data Mining Algorithm
(2018-05-10)
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
(2018-08-28)
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 ...