Reorganizing knowledge to improve performance

被引：2

作者：

Lopez-Suarez, A

Kamel, M

机构：

[1] Mackenzie Financial Corp, Toronto, ON M5S 3B5, Canada

[2] Univ Waterloo, Dept Syst Design Engn, Pattern Anal & Machine Intelligence Lab, Waterloo, ON N2L 3G1, Canada

来源：

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING | 1998年 / 10卷 / 01期

关键词：

rule-based systems; abstraction; compression; performance;

D O I：

10.1109/69.667103

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：190 / 191

页数：2

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