Title :
A Data Forest: Multi-Dimensional Visualization
Author :
Jamieson, Ronan ; Alexandrov, Vassil
Author_Institution :
Univ. of Reading, Reading
Abstract :
As terabyte datasets become the norm, the focus has shifted away from our ability to produce and store ever larger amounts of data, onto its utilization. It is becoming increasingly difficult to gain meaningful insights into the data produced. Also many forms of the data we are currently producing cannot easily fit into traditional visualization methods. This paper presents a new and novel visualization technique based on the concept of a data forest. Our data forest has been designed to be used with virtual reality (VR) as its presentation method. VR is a natural medium for investigating large datasets. Our approach can easily be adapted to be used in a variety of different ways, from a stand alone single user environment to large multi-user collaborative environments. A test application is presented using multi-dimensional data to demonstrate the concepts involved.
Keywords :
data visualisation; virtual reality; data forest; virtual reality; visualization technique; Collaboration; Data engineering; Data mining; Data visualization; Humans; Multidimensional systems; Systems engineering and theory; Testing; Virtual environment; Virtual reality; Data; Data Forest; Immersive Visualization; Multidimensional; VieGen.; Virtual Reality;
Conference_Titel :
Information Visualization, 2007. IV '07. 11th International Conference
Conference_Location :
Zurich
Print_ISBN :
0-7695-2900-3