Issue No. 06 - December (1993 vol. 5)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/69.250080
<p>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.</p>
knowledge discovery; knowledge evolution; databases; database query; rules; exceptions; deductive database; relational database; database theory; deductive databases; query processing; relational databases
J. Yoon and L. Kerschberg, "A Framework for Knowledge Discovery and Evolution in Databases," in IEEE Transactions on Knowledge & Data Engineering, vol. 5, no. , pp. 973-979, 1993.