Immersive Visual Data Mining: The 3DVDM Approach

An Overview of Interaction Techniques and 3D Representations for Data Mining

“…For instance, some visual representations are based on abstract representations, such as graphs (Ahmed et al (2006)), trees (Einsfeld et al (2007), Buntain (2008)), and geometrical shapes (Ogi et al (2009), Nagel et al (2008, Meiguins et al (2006)) and others on virtual worlds objects (Baumgärtner et al (2007)). The classification proposed in this chapter provides some initial insight into which techniques are oriented to certain data types, but does not assert that one visual representation is more suitable than others to explore a particular data set.…”

“…The task of navigation presents challenges such as supporting spatial awareness and providing efficient and comfortable movements between distant locations. Some systems enable users to navigate without constraint through the information space (Nagel et al (2008), Einsfeld et al (2006), Azzag et al (2005)). Other systems restrict movement in order to reduce possible user disorientation (Ahmed et al (2006)).…”

“…For example, when the user moves his hand forward in the direction of the object, he/she may zoom in or out. The 3DVDM system (Nagel et al (2008)) allows the user to fly around and within the visualized scatter-plot. The navigation is controlled by the direction of a "wanda" device tracked with 6 degrees of freedom.…”

“…Visual exploration (as we can see in Section.7) can be used in the pre-processing of the KDD process to identify interesting data (Nagel et al (2008)), and in post-processing to validate DM algorithm results (Azzag et al (2005)). For example, in VRMiner (Azzag et al (2005)) and in ArVis (Blanchard et al (2007)), the user can point to an object to select it and then obtain informations about it.…”

“…In this context, we are trying to develop new 3D visual representations to overcome some limitations of 2D representations. VR has already has been studied in different areas of VDM such as pre-processing (Nagel et al (2008), Ogi et al (2009)), classification (Einsfeld et al (2006)), and clustering (Ahmed et al (2006)). …”