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2009 International Conference on E-Learning, E-Business, Enterprise Information Systems, and E-Government
Knowledge Cluster Analysis Based on Rough Inclusion
Hong Kong, Hong Kong
December 05-December 06
ISBN: 978-0-7695-3907-2
| ASCII Text | x | ||
| Zhuo Wang, Min Zhu, Bin Nie, "Knowledge Cluster Analysis Based on Rough Inclusion," E-Learning, E-Business, Enterprise Information Systems, and E-Government, International Conference on, pp. 294-297, 2009 International Conference on E-Learning, E-Business, Enterprise Information Systems, and E-Government, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/EEEE.2009.75, author = {Zhuo Wang and Min Zhu and Bin Nie}, title = {Knowledge Cluster Analysis Based on Rough Inclusion}, journal ={E-Learning, E-Business, Enterprise Information Systems, and E-Government, International Conference on}, volume = {0}, year = {2009}, isbn = {978-0-7695-3907-2}, pages = {294-297}, doi = {http://doi.ieeecomputersociety.org/10.1109/EEEE.2009.75}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - E-Learning, E-Business, Enterprise Information Systems, and E-Government, International Conference on TI - Knowledge Cluster Analysis Based on Rough Inclusion SN - 978-0-7695-3907-2 SP294 EP297 A1 - Zhuo Wang, A1 - Min Zhu, A1 - Bin Nie, PY - 2009 KW - knowledge management; cluster; rough inclusion. VL - 0 JA - E-Learning, E-Business, Enterprise Information Systems, and E-Government, International Conference on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/EEEE.2009.75
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.
Index Terms:
knowledge management; cluster; rough inclusion.
Citation:
Zhuo Wang, Min Zhu, Bin Nie, "Knowledge Cluster Analysis Based on Rough Inclusion," eeee, pp.294-297, 2009 International Conference on E-Learning, E-Business, Enterprise Information Systems, and E-Government, 2009
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