DocumentCode
2608120
Title
Clustering knowledge in tabular knowledge bases
Author
Vanthienen, J. ; Dries, E. ; Keppens, J.
Author_Institution
Dept. of Appl. Econ. Sci., Katholieke Univ., Leuven, Belgium
fYear
1996
fDate
16-19 Nov. 1996
Firstpage
88
Lastpage
95
Abstract
Recently, there has been a growing interest in the maintenance and efficiency of large knowledge based systems. Decomposition of knowledge based systems is recognized as an important research issue in this respect. We discuss the decomposition of knowledge bases that consist of decision tables. Several algorithms to decompose large decision tables into smaller components are proposed.
Keywords
decision tables; decision theory; knowledge based systems; knowledge verification; software maintenance; decision tables; knowledge based systems decomposition; knowledge clustering; large knowledge based systems; tabular knowledge bases; Chromium; Computational efficiency; Expert systems; Explosions; Face detection; Knowledge based systems; Knowledge representation; Partitioning algorithms; System testing; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 1996., Proceedings Eighth IEEE International Conference on
ISSN
1082-3409
Print_ISBN
0-8186-7686-7
Type
conf
DOI
10.1109/TAI.1996.560430
Filename
560430
Link To Document