Title :
A virtual 3D data exploration environment based on octree
Author :
Kong, Lingwei ; Hu, Jun
Author_Institution :
Sch. of Comput. & Inf. Technol., Beijing Jiao Tong Univ., China
fDate :
31 Aug.-4 Sept. 2004
Abstract :
The advantage of visual data exploration is that the user is directly involved in the process of data mining. There are a large number of information visualization techniques, which have been developed over the last decade to support the exploration of large data sets. The octree representation is a well-known hierarchical data structure that can be used to partition the 3D space into cubic voxels of varying sizes. In this paper, we describe a new approach that uses octree technique into data mining system, and design a 3D data exploration environment.
Keywords :
data mining; data visualisation; information analysis; octrees; very large databases; visual databases; data mining; hierarchical data structure; information analysis; information visualization; octree representation; very large databases; virtual 3D data exploration; Artificial intelligence; Data mining; Data structures; Data visualization; Feedback; Statistics;
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
DOI :
10.1109/ICOSP.2004.1441644