Intelligent website evolution of public sector based on data mining tools

  • Authors:

  • Jang Hee Lee;Gye Hang Hong

  • Affiliations:

  • School of Industrial Management, Korea University of Technology and Education, Cheonan City, Choongnam Province, South Korea;Industrial System and Information Engineering, Korea University

  • Venue:
  • ICWE'05 Proceedings of the 5th international conference on Web Engineering
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

As one of means for the electronic government embodiment, the website construction and its complement of public sector such as government agency and public institution has been importantly considered. The public sector's website is operated for public benefit and consequently needs to be continuously redesigned for the users with lower performance in the satisfaction level and effect of using it based on the served information by evaluating whether the performance is different between the users with the various different backgrounds, areas and etc. In this study we present an intelligent evolution model of public sector's website based on data mining tools in order to improve the whole users' satisfaction and the effects of using it, especially the users with lower performances by continuously redesigning and complementing the current key web pages.