{"title":"Visual Sensitivity Analysis in Real Estate Prediction System","authors":"Massara Daana, M. Huang","doi":"10.1109/CGIV.2013.25","DOIUrl":null,"url":null,"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.","PeriodicalId":342914,"journal":{"name":"2013 10th International Conference Computer Graphics, Imaging and Visualization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 10th International Conference Computer Graphics, Imaging and Visualization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CGIV.2013.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
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.