DocumentCode
1361219
Title
Reorganizing knowledge to improve performance
Author
Lopez-Suarez, A. ; Kamel, M.
Author_Institution
Mackenzie Financial Corp., Toronto, Ont., Canada
Volume
10
Issue
1
fYear
1998
Firstpage
190
Lastpage
191
Abstract
This paper presents a method to reorganize rules in knowledge bases with the objective of improving their performance. Knowledge reorganization is achieved through the combination of rule compression and abstraction techniques. The effectiveness of this methodology is evaluated in terms of pattern matching activity and execution times using knowledge bases from several application areas
Keywords
inference mechanisms; knowledge based systems; pattern matching; performance evaluation; abstraction techniques; application areas; execution times; knowledge bases; knowledge reorganisation; pattern matching; performance improvement; rule compression; Algorithm design and analysis; Assembly; Compression algorithms; Engines; Inference algorithms; Knowledge based systems; Pattern matching; Performance gain; System performance;
fLanguage
English
Journal_Title
Knowledge and Data Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1041-4347
Type
jour
DOI
10.1109/69.667103
Filename
667103
Link To Document