BibTeX
@MISC{_editorial,
author = {},
title = {Editorial},
year = {}
}
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Abstract
Foreword to the special section on visual analytics The increasing amount of heterogeneous data from different data sources is a challenging problem in many areas. Visual Analytics, a discipline which emerged in the last decade, tries to cope with this issue. Visual Analytics is “the science of analytical reasoning facilitated by visual interfaces ” [1]. In other words, Visual Analytics is a combination of automatic, visual, and inter-active methods to explore large datasets. To achieve this, Visual Analytics draws on several different disciplines, as e.g., informa-tion visualization, data mining, data management, spatio-temporal data analysis, and cognitive psychology [2]. In this context, the human element plays an important role. The seamless interplay between human and computer is essential for getting relevant insights from the data. In this way, Visual Analytics supports the exploration and understanding of large and complex datasets.
Keyphrases
visual analytics important role several different discipline complex datasets informa-tion visualization relevant insight data mining seamless interplay cognitive psychology heterogeneous data large datasets visual analytics draw data management many area inter-active method human element different data source analytical reasoning visual interface special section last decade spatio-temporal data analysis
