Visual Analytics Sample Clauses

Visual Analytics. 1.1.3.1. Visualisation of a single, static, embedded data set
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Visual Analytics. Summary Overview Market availability Challenges and gaps Current research Short term future research Long term future research -Information visualization requirements for business intelligence and situational awareness-enterprise knowledge visualization linking-Online analytical processing and data mining-Advanced social network analysis and visualization-Data mining and interactive visualization communication of location-based statistical data-Information visualization tools for high dimensional non-linear data-Visual analysis of data in spreadsheet format - Demographics visualizations, allowing stakeholders and decision makers to have a clear picture of the data and of their trends over time- Legal Arguments visualisation: text analysis, argumentation mappings and visualisation algorithms- Discussion Arguments visualisation, making use of visualisation techniques forvisualizing adiscussion’s flow-Geographic visualization tools -Financial marketsmonitoring and visualizing in real time-Advanced applications for security and defense -Close the loop of information selection, preparation and visualisation -Simultaneous multiple visualisation -Integration of visualisation with comments / wiki / blogs -Collaborative platform display Interaction between visualisation and models -Mobile visual analytics tools -Geo-visualisation of government data -Integration with opinion mining and participatory sensing -Evaluation framework for visualisation effectiveness -Visualisation infrastructures for policy modelling issues -Re-usable, mashable tools for visual analytics -Tighter integration between automatic computation and interactive visualisation -Bias identification and signalling in visualisation -Perceptual, cognitive and graphical principles -Efficiency of the visualisation techniques to enable interactive exploration interaction techniques such as focus & context -Impact evaluation of visual analytics on policy choices -Learning adaptive algorithm for users intent -Advanced visual analytics interfaces -Intuitive affordable visual analytics interface for citizens -Development of novel interaction algorithms incorporating machine recognition of the actual user intent and appropriate adaptation of main display parameters such as the level of detail, data selection, etc. by which the data is presented Introduction and definition The explosion in computing techniques led to the generation of a tremendous amount of data which are stored in the internet and processed in...

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