Opening book details…
Can I read System for Managing and Refining Structural Characteristics Discovered from Databases on EtoBox?
System for Managing and Refining Structural Characteristics Discovered from Databases by Ning Zhong; Setsuo Ohsuga is a Computer Science article available to read on EtoBox.
What is System for Managing and Refining Structural Characteristics Discovered from Databases about?
Systems that allow automatic knowledge discovery from databases will play an increasingly important role in building/sharing large scale knowledge bases. Although many systems for knowledge discovery in databases have been proposed, few of them have addressed the capabilities of managing and refining the discovered knowledge. In particular, the contents of most databases are ever changing and erroneous data can be a significant problem in real-world databases. Hence, the process of discovering knowledge from databases is a process based on incipient hypothesis generation/evaluation and refinement/management. The paper describes a system named IIBR (Inheritance Inference Based Refinement) for managing and refining structural characteristics discovered from databases. Structural characteristics are a kind of important regularity hidden in databases, and are denoted by regression models for describing three kinds of functional relations: the exact, strong and weak ones. IIBR is one subsystem of the authors' GLS (Global Learning Scheme) discovery system, and can be cooperatively used with other subsystems of GLS such as KOSI (Knowledge Oriented Statistic Inference). By means of IIBR, t
Who reads System for Managing and Refining Structural Characteristics Discovered from Databases?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Ning Zhong; Setsuo Ohsuga
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0950-7051)
- Published
- 1996
- Language
- EN
- Field
- Computer Science (Physical Sciences)