{"title":"Data Analysis through Information Visualisation for eGovernments & eBusinesses","authors":"Wajid Khan, F. Hussain","doi":"10.1109/DeSE.2013.46","DOIUrl":null,"url":null,"abstract":"The greatest contribution of information visualisation tools are to make it possible for the decision makers to identify the expected and discover the unexpected, similarly exploring hidden patterns and trends in large enterprise and Government data is an unique challenge. Adopting existing technologies in a mash-up environment to analyse and understand data through visual analytics and information visualisation. We will be exploring data by information visualisation through mash-up application. What we have discovered that complex visualisation elements could be formed through pre-developed and existing visualisation models processing large and diverse datasets.","PeriodicalId":248716,"journal":{"name":"2013 Sixth International Conference on Developments in eSystems Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Sixth International Conference on Developments in eSystems Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DeSE.2013.46","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
The greatest contribution of information visualisation tools are to make it possible for the decision makers to identify the expected and discover the unexpected, similarly exploring hidden patterns and trends in large enterprise and Government data is an unique challenge. Adopting existing technologies in a mash-up environment to analyse and understand data through visual analytics and information visualisation. We will be exploring data by information visualisation through mash-up application. What we have discovered that complex visualisation elements could be formed through pre-developed and existing visualisation models processing large and diverse datasets.