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 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.

[1]  Howard J. Hamilton,et al.  Efficient Attribute-Oriented Generalization for Knowledge Discovery from Large Databases , 1998, IEEE Trans. Knowl. Data Eng..

[2]  Howard J. Hamilton,et al.  A fast, on-line generalization algorithm for knowledge discovery , 1995 .

[3]  Nick Cercone,et al.  Parallel Knowledge Discovery Using Domain Generalization Graphs , 1997, PKDD.

[4]  Rokia Missaoui,et al.  INCREMENTAL CONCEPT FORMATION ALGORITHMS BASED ON GALOIS (CONCEPT) LATTICES , 1995, Comput. Intell..

[5]  Jiawei Han,et al.  Towards Efficient Induction Mechanisms in Database Systems , 1994, Theor. Comput. Sci..

[6]  Jiawei Han,et al.  Attribute-Oriented Induction in Relational Databases , 1991, Knowledge Discovery in Databases.

[7]  Ryszard S. Michalski,et al.  A theory and methodology of inductive learning , 1993 .

[8]  Ido Dagan,et al.  Knowledge Discovery in Textual Databases (KDT) , 1995, KDD.

[9]  Tom Michael Mitchell.  Version spaces: an approach to concept learning. , 1979 .

[10]  Ada Wai-Chee Fu,et al.  Efficient Algorithms for Attribute-Oriented Induction , 1995, KDD.

[11]  Howard J. Hamilton,et al.  Performance evaluation of attribute-oriented algorithms for knowledge discovery from databases , 1995, Proceedings of 7th IEEE International Conference on Tools with Artificial Intelligence.

[12]  Jiawei Han,et al.  Data-Driven Discovery of Quantitative Rules in Relational Databases , 1993, IEEE Trans. Knowl. Data Eng..

[13]  Jiawei Han,et al.  Knowledge Discovery in Databases: An Attribute-Oriented Approach , 1992, VLDB.