Izvorni znanstveni članak
https://doi.org/10.2498/cit.1002281
Research on Cluster Analysis Method of E-government Public Hotspot Information Based on Web Log Analysis
Suozhu Wang
; School of Management, Capital Normal University, Beijing, China
Jianlin Zhang
; School of Management, Capital Normal University, Beijing, China
Fuze Yang
; School of Management, Capital Normal University, Beijing, China
Jia Ye
; School of Management, Capital Normal University, Beijing, China
Sažetak
To master the hotspot information of E-government public opinion macroscopically, and so that the government can provide more target-oriented information and services for the public. A method for calculating the public concern degree of E-government public opinion is proposed in this paper. In this method, two indices that can reflect the hotspot information of public opinion to a certain degree are calculated through the web log mining, the attention degree of the information through the weighting computation to find the hotspot problems that the public cared about in a certain period of time. A fuzzy cluster analysis method that can find hotspot problems is presented in this paper. And an illustrative example is given to describe the clustering process.
Ključne riječi
public hotspot information; web log analysis; cluster analysis; e-government
Hrčak ID:
129369
URI
Datum izdavanja:
10.11.2014.
Posjeta: 1.068 *