Title :
Knowledge discovery for evolutionary systems
Author_Institution :
Sch. of Inf. Technol. & Eng., George Mason Univ., Fairfax, VA, USA
Abstract :
The issues addressed include using a database query to discover a new rule, using not only positive examples (answer to a query) but also negative examples to discover new rules, and harmonizing a new rule and previous rules to remove inconsistencies. The main contribution is the development of a new tool for characterizing the exceptions in databases and evolving knowledge as a database evolves
Keywords :
deductive databases; exception handling; knowledge acquisition; knowledge based systems; learning systems; database query; evolutionary systems; exceptions; knowledge discovery; negative examples; new rule; positive examples; Data engineering; Information retrieval; Information technology; Knowledge engineering; Object oriented databases; Relational databases; Spatial databases; Surveillance;
Conference_Titel :
Tools with Artificial Intelligence, 1992. TAI '92, Proceedings., Fourth International Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
0-8186-2905-3
DOI :
10.1109/TAI.1992.246401
