A framework for knowledge discovery and evolution in databases
Jong Pil Yoon, Larry Kerschberg · IEEE Transactions on Knowledge and Data Engineering · 1993
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.>