Title :
A framework for knowledge discovery and evolution in databases
Author :
Yoon, Jong P. ; Kerschberg, Larry
Author_Institution :
Sch. of Inf. Technol. & Eng., George Mason Univ., Fairfax, VA, USA
fDate :
12/1/1993 12:00:00 AM
Abstract :
A concept for knowledge discovery and evolution in databases is described. The key issues include: using a database query to discover new rules; using not only positive examples (answer to a query), but also negative examples to discover new rules; and harmonizing existing rules with the new rules. A tool for characterizing the exceptions in databases and evolving knowledge as a database evolves is developed
Keywords :
database theory; deductive databases; query processing; relational databases; database query; databases; deductive database; exceptions; knowledge discovery; knowledge evolution; relational database; rules; Abstracts; Artificial intelligence; Information retrieval; Information technology; Object oriented databases; Relational databases; Spatial databases;
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
