Data visualization in the DB-Discover system

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ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
Year:
1997

Citing 0
Cited 2

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Abstract

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.