DocumentCode
2563571
Title
A New Attribute Reduction Algorithm in Continuous Information Systems
Author
Lv, Yue-jin ; Zhang, Hong-yun ; Quan, Fen ; Chen, Zhi-cheng
fYear
2007
fDate
15-19 Dec. 2007
Firstpage
196
Lastpage
200
Abstract
This paper puts forward a new method of discretizing continuous attributes. Compared with the traditional approach, the method, proposed in this paper, can make the number of the obtained classes be more moderate, as well as the lost information be fewer. And then a simple attribute reduction algorithm is developed in continuous information systems. Finally, a real example is used to illustrate its feasibility and effectiveness, respectively.
Keywords
Artificial intelligence; Computational intelligence; Information science; Information security; Information systems; Mathematics; Paper technology; Pattern recognition; Set theory; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security, 2007 International Conference on
Conference_Location
Harbin
Print_ISBN
0-7695-3072-9
Electronic_ISBN
978-0-7695-3072-7
Type
conf
DOI
10.1109/CIS.2007.191
Filename
4415330
Link To Document