This study paper introduces different tools, i.e. analytical methods and visualizations, in business intelligence environments. It especially emphasizes the use of OLAP-based technologies as a tradtional kind of data analysis in contrast to as graph analysis and formal concept analysis as rather new approaches in the area of visual analytics
This textbook presents the main principles of visual analytics and describes techniques and approach...
Visual analytics is an interdisciplinary field of research at the boundary between data mining, stat...
In numerous application areas fast growing data sets develop with ever higher complexity and dynamic...
In today's applications data is produced at unprecedented rates. While the capacity to collect and s...
The aim of this thesis is the design of visual analytics solutions to support evidence-based decisio...
With the ever-increasing amount of data, the world has stepped into the era of ‘‘Big Data’’. Present...
The information overload is a well-known phenomenon of the information age, since due to the progres...
Never before in history data has been generated and collected in such high volumes as it is today. K...
The improvement of data storage devices and means to collect data has lead to accumulated data sourc...
An umbrella term encompassing a new generation of online analytical processing (OLAP) end user tools...
The science of Visual Analytics is a relatively new multidisciplinary field that combines various re...
Visual analytics is not easy to define, due to its multi-disciplinary nature involving multiple proc...
Never before in history data has been generated and collected in such high volumes as it is today. K...
With the beginning of the Information Age and the following spread of the information overload pheno...
This thesis explores the application of economics to the study of decision-making in visual analytic...
This textbook presents the main principles of visual analytics and describes techniques and approach...
Visual analytics is an interdisciplinary field of research at the boundary between data mining, stat...
In numerous application areas fast growing data sets develop with ever higher complexity and dynamic...
In today's applications data is produced at unprecedented rates. While the capacity to collect and s...
The aim of this thesis is the design of visual analytics solutions to support evidence-based decisio...
With the ever-increasing amount of data, the world has stepped into the era of ‘‘Big Data’’. Present...
The information overload is a well-known phenomenon of the information age, since due to the progres...
Never before in history data has been generated and collected in such high volumes as it is today. K...
The improvement of data storage devices and means to collect data has lead to accumulated data sourc...
An umbrella term encompassing a new generation of online analytical processing (OLAP) end user tools...
The science of Visual Analytics is a relatively new multidisciplinary field that combines various re...
Visual analytics is not easy to define, due to its multi-disciplinary nature involving multiple proc...
Never before in history data has been generated and collected in such high volumes as it is today. K...
With the beginning of the Information Age and the following spread of the information overload pheno...
This thesis explores the application of economics to the study of decision-making in visual analytic...
This textbook presents the main principles of visual analytics and describes techniques and approach...
Visual analytics is an interdisciplinary field of research at the boundary between data mining, stat...
In numerous application areas fast growing data sets develop with ever higher complexity and dynamic...