A framework for uncertainty-aware visual analytics

Visual analytics has become an important tool for gaining insight on large and complex collections of data. Numerous statistical tools and data transformations, such as projections, binning and clustering, have been coupled with visualization to help analysts understand data better and faster. Howev...

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Vydané v:	2009 IEEE Symposium on Visual Analytics Science and Technology s. 51 - 58
Hlavní autori:	Correa, C.D., Yu-Hsuan Chan, Kwan-Liu Ma
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2009
Predmet:	Blogs Data analysis Data Transformations Data visualization Decision making Humans Model Fitting Principal component analysis Sampling methods Statistical analysis Uncertainty Visual analytics
ISBN:	9781424452835, 142445283X
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