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
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;
Conference_Titel :
Tools with Artificial Intelligence, 1997. Proceedings., Ninth IEEE International Conference on
Conference_Location :
Newport Beach, CA
Print_ISBN :
0-8186-8203-5
DOI :
10.1109/TAI.1997.632290
