Title :
Knowledge Cluster Analysis Based on Rough Inclusion
Author :
Wang, Zhuo ; Zhu, Min ; Nie, Bin
Author_Institution :
Software Sch., Nanchang Univ., Nanchang, China
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.;
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
DOI :
10.1109/EEEE.2009.75
