Name
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. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/TAI.1997.632290 | ICTAI |
Keywords | Field | DocType |
efficient attribute,db-discover system,data visualization capability,knowledge discovery,research software tool,multi attribute generalization,induction algorithm,possible summary,condition method,data visualization,data mining,data visualisation,induction generators,computer science,databases | Software tool,Data mining,Data visualization,Information visualization,Attribute oriented induction,Computer science,Artificial intelligence,Knowledge extraction,Software visualization,Machine learning,Knowledge acquisition | Conference |
ISSN | Citations | PageRank |
1082-3409 | 3 | 0.43 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert J. Hilderman | 1 | 270 | 29.86 |
| liangchun li | 2 | 3 | 0.43 |
| Howard J. Hamilton | 3 | 1501 | 145.55 |