Proceedings Ninth IEEE International Conference on Tools with Artificial Intelligence (1997)
Newport Beach, CA
Nov. 3, 1997 to Nov. 8, 1997
R.J. Hilderman , Dept. of Comput. Sci., Regina Univ., Sask., Canada
Liangchun Li , Dept. of Comput. Sci., Regina Univ., Sask., Canada
H.J. Hamilton , 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.
deductive databases; data visualization; DB-Discover system; research software tool; knowledge discovery; databases; attribute oriented induction algorithm; climbing tree; dropping condition methods; multi attribute generalization; data visualization capabilities; KDD
R. Hilderman, L. Li and H. Hamilton, "Data visualization in the DB-Discover system," Proceedings Ninth IEEE International Conference on Tools with Artificial Intelligence(ICTAI), Newport Beach, CA, 1997, pp. 0474.