Title :
An Interactive, 3D Visual Exploration Tool for Undirected Relationships
Author_Institution :
Comput. Sci., Utah State Univ., Logan, UT
Abstract :
Many relationships in data mining such as frequent itemsets and similarity are undirected. An effective visualization of such relationships at a large scale offers a valuable visual feedback about the dataset or data mining results to the user by which the user´s understanding of the target information is greatly enhanced. We present a highly interactive 3D visual data exploration tool with a high graphical quality in this paper. Visual data exploration using this tool on various real and synthetic datasets in main memory was effective and promising.
Keywords :
data mining; visual databases; 3D visual exploration tool; data mining; target information; undirected relationships; visual data exploration; visual feedback; Association rules; Data mining; Data visualization; Feedback; Frequency; Histograms; Iris; Itemsets; Scattering; Social network services; visual data mining; visualization;
Conference_Titel :
Multimedia, 2008. ISM 2008. Tenth IEEE International Symposium on
Conference_Location :
Berkeley, CA
Print_ISBN :
978-0-7695-3454-1
Electronic_ISBN :
978-0-7695-3454-1
DOI :
10.1109/ISM.2008.126