DocumentCode
1622267
Title
Data visualization in the DB-Discover system
Author
Hilderman, Robert J. ; Li, Liangchun ; Hamilton, Howard J.
Author_Institution
Dept. of Comput. Sci., Regina Univ., Sask., Canada
fYear
1997
Firstpage
474
Lastpage
477
Abstract
The DB-Discover system is a research software tool for knowledge discovery from databases. Utilizing an efficient attribute oriented induction algorithm based upon the climbing tree and dropping condition methods, called multi attribute generalization, it generates many possible summaries of data from a database. We present the design of the data visualization capabilities of DB-Discover and describe how these capabilities help us manage the summaries generated
Keywords
data visualisation; deductive databases; knowledge acquisition; trees (mathematics); DB-Discover system; KDD; attribute oriented induction algorithm; climbing tree; data visualization; data visualization capabilities; databases; dropping condition methods; knowledge discovery; multi attribute generalization; research software tool; Computer science; Data mining; Data visualization; Induction generators; Software tools; State-space methods; Visual databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 1997. Proceedings., Ninth IEEE International Conference on
Conference_Location
Newport Beach, CA
ISSN
1082-3409
Print_ISBN
0-8186-8203-5
Type
conf
DOI
10.1109/TAI.1997.632290
Filename
632290
Link To Document