Visual Knowledge Discovery and Machine Learning

1. Motivation, Problems and Approach
Boris Kovalerchuk

2. General Line Coordinates (GLC)
Boris Kovalerchuk

3. Theoretical and Mathematical Basis of GLC
Boris Kovalerchuk

4. Adjustable GLCs for Decreasing Occlusion and Pattern Simplification
Boris Kovalerchuk

5. GLC Case Studies
Boris Kovalerchuk

6. Discovering Visual Features and Shape Perception Capabilities in GLC
Boris Kovalerchuk

7. Interactive Visual Classification, Clustering and Dimension Reduction with GLC-L
Boris Kovalerchuk

8. Knowledge Discovery and Machine Learning for Investment Strategy with CPC
Boris Kovalerchuk

9. Visual Text Mining: Discovery of Incongruity in Humor Modeling
Boris Kovalerchuk

10. Enhancing Evaluation of Machine Learning Algorithms with Visual Means
Boris Kovalerchuk

11. Pareto Front and General Line Coordinates
Boris Kovalerchuk

12. Toward Virtual Data Scientist and Super-Intelligence with Visual Means
Boris Kovalerchuk

13. Comparison and Fusion of Methods and Future Research
Boris Kovalerchuk

Keywords: Engineering, Computational Intelligence, Artificial Intelligence (incl. Robotics)