DocumentCode :
2148317
Title :
Visual Sensitivity Analysis in Real Estate Prediction System
Author :
Daana, Massara ; Mao Lin Huang
Author_Institution :
Fac. of Eng. & Inf. Technol., Univ. of Technol., Sydney, NSW, Australia
fYear :
2013
fDate :
6-8 Aug. 2013
Firstpage :
100
Lastpage :
105
Abstract :
Visual Sensitivity analysis has proven its feasibility in data exploration and exposing relationships between the variables in the model. However, it lacks the ability of user direct interaction of outputs. To overcome this drawback for this interdisciplinary field, in this paper we introduce a novel approach of integrating an interactive visualization and a sensitivity analysis method into a visual interactive sensitivity analysis environment. This environment is applied to a property prediction system. The interactive visualization will facilitate user interaction with the sensitivity analysis method to adjust the outputs of the analysis procedure. The results are presented graphically to the non-expert users without the need to a prior knowledge of the sensitivity analysis method being used. Additionally, all the results that the non-expert is presented with, are all compiled together and presented to an expert user for further analysis by means of multidimensional scatter plots.
Keywords :
data visualisation; interactive systems; real estate data processing; data exploration; interactive visualization integration; multidimensional scatter plots; property prediction system; real estate prediction system; visual interactive sensitivity analysis environment; Analytical models; Data visualization; Input variables; Predictive models; Sensitivity analysis; Standards; Visualization; Geographical Map; Multidimensional Data Visualization; Overall+Detail Viewing; Scatter Plots; Sensitivity Analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Graphics, Imaging and Visualization (CGIV), 2013 10th International Conference
Conference_Location :
Macau
Type :
conf
DOI :
10.1109/CGIV.2013.25
Filename :
6658171
Link To Document :
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