DocumentCode :
3421470
Title :
Approaches for incrementally updating approximations based on set-valued information systems while attribute values´ coarsening and refining
Author :
Zou, Weili ; Li, Tianrui ; Chen, Hongmei ; Ji, Xiaolan
Author_Institution :
Sch. of Math., Southwest Jiaotong Univ., Chengdu, China
fYear :
2009
fDate :
17-19 Aug. 2009
Firstpage :
824
Lastpage :
829
Abstract :
Incrementally updating approximations in rough set theory may contribute to enhancement of the efficiency of knowledge discovery. This paper firstly introduces the definitions of attribute values´ coarsening and refining in set-valued information systems. Then the approach for incrementally updating approximations of a concept is presented while attribute values coarsening and refining. Finally, an example is presented to illustrate the validity of the proposed approach.
Keywords :
data mining; information systems; rough set theory; attribute values coarsening and refining; concept approximations; knowledge discovery; rough set theory; set-valued information systems; Data analysis; Information science; Information systems; Machine learning; Mathematics; Pattern recognition; Rough sets; Set theory; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Granular Computing, 2009, GRC '09. IEEE International Conference on
Conference_Location :
Nanchang
Print_ISBN :
978-1-4244-4830-2
Type :
conf
DOI :
10.1109/GRC.2009.5255006
Filename :
5255006
Link To Document :
بازگشت