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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Veröffentlicht in:	2009 IEEE Symposium on Visual Analytics Science and Technology S. 51 - 58
Hauptverfasser:	Correa, C.D., Yu-Hsuan Chan, Kwan-Liu Ma
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2009
Schlagworte:	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
Online-Zugang:	Volltext
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