Visual Analytics

Pekka Wartiainen
pekka.wartiainen@jyu.fi
Department of Mathematical Information Technology

11.05.2011

Abstract

Data masses require a lot of data processing. Data mining is the traditional way to transfer data into 
knowledge. In visual analytics, humans are integrated into the process. This integration is made 
possible by continuous interaction between the analyst and the analysis software. Data mining methods 
can be utilized also in visual analytics, where the priority is given to the visualization of the 
information and dimension reduction.

The research project contains several phases. In the first, current, phase of the research the 
specific features of existing applications of visual analytics are examined. Based on these findings 
the main strengths and challenges will be identified. The next goal is to apply choosen methods in the 
area of energy production and information security. After that the new methods are developed based on 
the experience gained during the research. The long term goal is to develop for example a system to 
monitor information security attacks where the user interface is scalable to different role models.