EFFICIENT RULE INDUCTION FROM NOISY DATA

Authors
LIU H
Citation
H. Liu, EFFICIENT RULE INDUCTION FROM NOISY DATA, Expert systems with applications, 10(2), 1996, pp. 275-280
Citations number
15
Categorie Soggetti
Operatione Research & Management Science","System Science","Engineering, Eletrical & Electronic","Computer Science Artificial Intelligence
Journal title
Expert systems with applications → ACNP
ISSN journal
09574174
Volume
10
Issue
2
Year of publication
1996
Pages
275 - 280
Database
ISI
SICI code
0957-4174(1996)10:2<275:ERIFND>2.0.ZU;2-#
Abstract
The single-pattern-based rule induction method is sensitive to the ord er of data. Naturally, it is not suitable for data with noise. This pa per reports a new rule induction method of this kind that handles nois e effectively. Experiments are conducted to show that rules generated are compact and accurate, and the method is efficient and handles nois e effectively. Its computational complexity is also given for comparis on with other methods and as a guide for future application of this me thod.