DocumentCode
2173890
Title
Visualization of Temporal-Oriented Datasets
Author
Gao, Jun ; Revesz, Peter
Author_Institution
Nebraska Univ., Lincoln, NE
fYear
1993
fDate
16-18 Aug. 1993
Firstpage
57
Lastpage
62
Abstract
Visualization and interpolation naturally go together and strengthen each other. The paper presents an interpolation method as a pre-processing tool to generate the missing data to be visualized. The method is applied in election prediction, a typical temporal-oriented spatiotemporal dataset. The experimental results demonstrate the ability of the methods to accurately predict the presidential election
Keywords
data visualisation; interpolation; temporal databases; data visualization; interpolation method; missing data generation; pre-processing tool; presidential election prediction; spatiotemporal dataset; temporal-oriented dataset; Computer science; Concrete; Data analysis; Data structures; Data visualization; Interpolation; Nominations and elections; Spatiotemporal phenomena; Temperature; Voting;
fLanguage
English
Publisher
ieee
Conference_Titel
Geometric Modeling and Imaging--New Trends, 2006
Conference_Location
London, England
Print_ISBN
0-7695-2604-7
Type
conf
DOI
10.1109/GMAI.2006.49
Filename
1648745
Link To Document