DocumentCode
2755627
Title
Knowledge Cluster Analysis Based on Rough Inclusion
Author
Wang, Zhuo ; Zhu, Min ; Nie, Bin
Author_Institution
Software Sch., Nanchang Univ., Nanchang, China
fYear
2009
fDate
5-6 Dec. 2009
Firstpage
294
Lastpage
297
Abstract
Generating the new knowledge from uncertainty and imprecision problem is a very significative research of knowledge management. In this paper, Knowledge cluster analysis based on rough inclusion is put forward. It was proved to be feasible and effective after tested with 13 kinds of nationalities crowds´ data.
Keywords
knowledge management; pattern clustering; rough set theory; statistical analysis; knowledge cluster analysis; knowledge management; rough inclusion; Algorithm design and analysis; Clustering algorithms; Data analysis; Data mining; Electronic learning; Information systems; Knowledge management; Management information systems; Rough sets; Uncertainty; cluster; knowledge management; rough inclusion.;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Learning, E-Business, Enterprise Information Systems, and E-Government, 2009. EEEE '09. International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-0-7695-3907-2
Type
conf
DOI
10.1109/EEEE.2009.75
Filename
5359400
Link To Document