Buch
Visual Knowledge Discovery and Machine Learning
Boris Kovalerchuk
181,89
EUR
Lieferzeit 12-13 Tage
Übersicht
Verlag | : | Springer International Publishing |
Buchreihe | : | Intelligent Systems Reference Library (Bd. 144) |
Sprache | : | Englisch |
Erschienen | : | 04. 06. 2019 |
Seiten | : | 317 |
Einband | : | Kartoniert |
Höhe | : | 235 mm |
Breite | : | 155 mm |
Gewicht | : | 522 g |
ISBN | : | 9783319892306 |
Sprache | : | Englisch |
Inhaltsverzeichnis
Motivation, Problems and Approach.- General Line Coordinates (GLC).- Theoretical and Mathematical Basis of GLC.- Adjustable GLCs for decreasing occlusion and pattern simplification.- GLC Case Studies.- Discovering visual features and shape perception capabilities in GLC.- Interactive Visual Classification, Clustering and Dimension Reduction with   GLC-L.- Knowledge Discovery and Machine Learning for Investment Strategy with CPC.
Pressestimmen
“The book is a good suggestion for a data scientist or someone who would like to specialise on GLCs … it provides a helpful introduction along with a wide variety of case studies that help any scientist to familiarise with this method.” (Angeliki Katsenou, Perception, Vol. 47 (12), December, 2018)