DocumentCode
534247
Title
Data Mining Using Rough Sets and Orthogonal Signal Correction-Orthogonal Partial Least Squares Analysis
Author
Wang, Zhuo ; Nie, Bin ; Xu, Jianfeng ; Hu, Ran ; Liu, Hongning ; Jianqiang Du
Author_Institution
Software Sch., Nanchang Univ., Nanchang, China
Volume
1
fYear
2010
fDate
16-18 July 2010
Firstpage
330
Lastpage
332
Abstract
The paper put forward Data mining using rough sets and orthogonal signal correction-orthogonal partial least squares analysis (RS-OSC-OPLS/O2PLS). first, dimensionality reduction and de-noising with rough sets and orthogonal signal correction;second, Data mining using orthogonal partial least squares analysis. The method was proved to be feasible and effective after tested with 13 kinds of nationalities crowds data.
Keywords
data mining; least squares approximations; rough set theory; data mining; orthogonal partial least squares analysis; orthogonal signal correction; rough sets; Data mining; Data models; Laboratories; Loading; Medical diagnostic imaging; Noise reduction; Rough sets; classification; orthogonal signal correction; partial least squares analysis; rough sets;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Applications (IFITA), 2010 International Forum on
Conference_Location
Kunming
Print_ISBN
978-1-4244-7621-3
Electronic_ISBN
978-1-4244-7622-0
Type
conf
DOI
10.1109/IFITA.2010.197
Filename
5635055
Link To Document