DocumentCode
1875004
Title
Research on Method of Case Base Data Mining Learning Based on Rough Set
Author
Li, Jingwei ; Song, Dong
Author_Institution
Sch. of Aeronaut., Northwestern Polytech. Univ., Xi´´an, China
fYear
2010
fDate
10-12 Dec. 2010
Firstpage
1
Lastpage
4
Abstract
Data mining based on rough set is introduced into CBR (Case-based Reasoning) system. And learning model of case base is established. The potential knowledge of case base is obtained and studied, through attribute reduction and attribute value reduction. Meanwhile, the structure and performance of case base is maintained and improved, through case reduction. The establishment of case base learning model raises the automaticity of knowledge acquisition and promotes the development of the CBR system positively. Then the process of learning is applied in the case base of fault diagnosis expert system of aircraft.
Keywords
case-based reasoning; data mining; expert systems; fault diagnosis; rough set theory; CBR system; aircraft fault diagnosis expert system; attribute reduction; attribute value reduction; case base data mining learning; case base learning model; case reduction; case-based reasoning; rough set; Aircraft; Atmospheric modeling; Cognition; Computational modeling; Data mining; Fault diagnosis; Indexes;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5391-7
Electronic_ISBN
978-1-4244-5392-4
Type
conf
DOI
10.1109/CISE.2010.5676958
Filename
5676958
Link To Document