Title :
A New Attribute Reduction Algorithm in Continuous Information Systems
Author :
Lv, Yue-jin ; Zhang, Hong-yun ; Quan, Fen ; Chen, Zhi-cheng
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;
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
DOI :
10.1109/CIS.2007.191