Titlebook: Visual and Spatial Analysis; Advances in Data Min Boris Kovalerchuk,James Schwing Book 2004 Springer Science+Business Media B.V. 2004 algeb

Debility

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Toward visual reasoning and discovery: lessons from the early history of mathematicsted with new terms such as visual data mining, visual decision making, heterogeneous, iconic and diagrammatic reasoning. Beyond a new terminology, the trend itself is not new as the early history of mathematics clearly shows. In this chapter, we demonstrate that we can learn valuable lessons from th

JUST

Visual correlation methods and modelsting data. Several categories of visual correlation are presented accompanied by both numeric and non-numeric examples with three levels (high, medium and low) of coordination. We also present examples of multi-type visual correlations. Next, the chapter provides a classification of visual correlati