Data visualization in the DB-Discover system

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 fr...

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Bibliographic Details
Main Authors: Hilderman, R.J., Liangchun Li, Hamilton, H.J.
Format: Conference Proceeding
Language:English
Subjects:
Computer science
Data mining
Data visualization
Induction generators
Software tools
State-space methods
Visual databases
Online Access:Request full text
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Description
Summary: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.
ISSN:1082-3409
2375-0197
DOI:10.1109/TAI.1997.632290