A method of holistic 3D visualization of arbitrarily large datasets

被引：0
|
作者：
Wiza, W [1 ]
Cellary, W [1 ]
Walczak, K [1 ]
机构：
[1] Poznan Univ Econ, Dept Informat Technol, Poznan, Poland
来源：
ISM 2005: SEVENTH IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA, PROCEEDINGS | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we describe a method of adaptive holistic 3D visualization of arbitrarily large datasets. The method, called AVE, permits to visualise entire datasets by the use of the most appropriate interface selected automatically from a number of available interfaces. The choice of an interface is based on the dataset properties. Different types of interfaces enable presenting the dataset categorized according to multiple criteria. The method is most suitable for abstract multidimensional datasets. Examples provided in this paper relate to visualization of data generated by indexing search engines.
引用
收藏
页码：151 / 158
页数：8
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