Research of Chinese Knowledge Management Based on Ordered Clustering
With the development of text mining technology,content analysis of the scientific literatures becomes possible. This paper focuses on the study of knowledge management subject in China. Total of 10,000 representative keywords are selected by feature selection algorithm,and then the vector space model (VSM) is built based on these keywords. The text ordered clustering is used to research of knowledge management subject finally. This paper points out that the knowledge management subject is experienced three development stages. The application of text mining technology on subject development is a significant attempt,and it offers reference for future study work on the related area.
ordered clustering knowledge management subject development Chinese text mining technology
Kun Ding Xin Li Hongfei Lin
School of Economics,Peking University,100871,China Center for Development Studies on 21<st> Century,Department of Computer,Dalian University of Technology,116023,China
国际会议
The First International Conference on Management Innovation(ICMI 2007)(管理创新会议)
上海
英文
265-269
2007-06-04（万方平台首次上网日期，不代表论文的发表时间）