VA Research at IAIS and University of Bonn




Welcome to the Visual Analytics Research Group

of University of Bonn and Fraunhofer IAIS.

 

Visual Analytics focuses on the neighbouring subfields of computer science known as knowledge discovery in databases and visualisation. These fields include on the one hand the automated analysis of large data sets using intelligent algorithms which are capable to extract hidden knowledge from the collected data in order to produce models which can be used for prediction and decision making. On the other hand, they include methods for visual interactive analysis of data. This allows the human expert to interfere with his superior visual perception of anomaly pattern of pictures and diagrams with analysis. We develop methods and tools to integrate these two approaches in a general paradigm of Visual Analytics

 

We focus especially on temporal and/or geospatial data. This includes examples of trajectories of moving objects (people, cars, animals, eye movement recorded from a computer screen), spatial time series data (dynamics of weather records or demographic indices) and events (earthquakes, traffic accidents, observations of rare species of plants and animals). We are also interested in analysis of aspatial data such as time series of financial indices or events, extracted from streams of text and multimedia documents.

 

Our research focuses on the neighboring subfields of computer science known as knowledge discovery in databases (KDD, sometimes referred to simply as data mining) and Visualisation. For us, these fields include on the one hand the automated analysis of large data sets using intelligent algorithms that are capable of extracting from the collected data hidden knowledge in order to produce models that can be used for prediction and decision making. On the other hand, they also include methods for visual interactive analysis of data that allow to involve knowledge of a human expert into analysis. We develop methods and tools that integrate these two approaches in a general paradigm of Visual Analytics as defined by the National Visualization and Analytics Center (NVAC™).

 

Our special focus is data that have temporal and/or geospatial reference. Examples include trajectories of moving objects (people, cars, animals, eye movement recorded from a computer screen), spatial time series data (dynamics of weather records or demographic indices), and events (earthquakes, traffic accidents, observations of rare species of plants and animals). We are also interested in analysis of aspatial data such as time series of financial indices or events extracted from streams of text and multimedia documents.

 

We are working in close cooperation with the Knowledge Discovery and Machine Learning group

 

Contact:

Dr. Gennady Andrienko

gennady.andrienko(at)iais.fraunhofer.de

Phone +49 2241 14-2486
Fax +49 2241 14-2072