Visual Knowledge Discovery and Machine Learning

Description

This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossless 2-D and 3-D visualization methods, which preserve the n-D information. This class of visual representations, called the General Lines Coordinates (GLCs), is accompanied by a set of algorithms for n-D data classification, clustering, dimension reduction, and Pareto optimization. The mathematical and theoretical analyses and methodology of GLC are included, and the usefulness of this new approach is demonstrated in multiple case studies. These include the Challenger disaster, world hunger data, health monitoring, image processing, text classification, market forecasts for a currency exchange rate, computer-aided medical diagnostics, and others. As such, the book offers a unique resource for students, researchers, and practitioners in the emerging field of Data Science. Front Matter ....Pages i-xxi Motivation, Problems and Approach (Boris Kovalerchuk)....Pages 1-14 General Line Coordinates (GLC) (Boris Kovalerchuk)....Pages 15-47 Theoretical and Mathematical Basis of GLC (Boris Kovalerchuk)....Pages 49-76 Adjustable GLCs for Decreasing Occlusion and Pattern Simplification (Boris Kovalerchuk)....Pages 77-99 GLC Case Studies (Boris Kovalerchuk)....Pages 101-140 Discovering Visual Features and Shape Perception Capabilities in GLC (Boris Kovalerchuk)....Pages 141-171 Interactive Visual Classification, Clustering and Dimension Reduction with GLC-L (Boris Kovalerchuk)....Pages 173-216 Knowledge Discovery and Machine Learning for Investment Strategy with CPC (Boris Kovalerchuk)....Pages 217-248 Visual Text Mining: Discovery of Incongruity in Humor Modeling (Boris Kovalerchuk)....Pages 249-263 Enhancing Evaluation of Machine Learning Algorithms with Visual Means (Boris Kovalerchuk)....Pages 265-276 Pareto Front and General Line Coordinates (Boris Kovalerchuk)....Pages 277-287 Toward Virtual Data Scientist and Super-Intelligence with Visual Means (Boris Kovalerchuk)....Pages 289-306 Comparison and Fusion of Methods and Future Research (Boris Kovalerchuk)....Pages 307-317