Title :
Using association rules mining to provide personalized information in e-government
Author :
Tang, Hewen ; Zhang, Pingzhen ; Song, Shaoyun ; Yan, Honglin
Author_Institution :
School of Information Technology and Engineering Yuxi Normal University Yuxi, Yunnan Province, China
Abstract :
E-government makes user get government information more and more conveniently. However, user is often drown in information. Therefore, e-government attempt to offer more convenience through personalized information. Association rules mining is a good tool to provide personalized information. This paper discussed e-government concept and types, then put forward one method to provide personalized information in e-government with association rules mining. An example was also presented in this paper.
Keywords :
Association rules; Databases; Electronic government; Internet; association rule; data mining; e-government; personalized information;
Conference_Titel :
E -Business and E -Government (ICEE), 2011 International Conference on
Conference_Location :
Shanghai, China
Print_ISBN :
978-1-4244-8691-5
DOI :
10.1109/ICEBEG.2011.5882080
