인터넷 설문조사의 방법론적인 문제점과 데이터마이닝 기법을 활용한 개인화된 인터넷설문조사 시스템의 구축

Abstract

The purpose of this research is to summarize the methodological issues in internet survey and to suggest personalized internet survey system using data mining technique for enhancing the survey quality of internet survey as well as utilizing the benefit of interactive multimedia factors of internet survey. The data mining technique used in this paper is Case Based Reasoning for adopting individual design preference affecting survey quality.For achieving the research purpose, two surveys, pre & post survey, were performed. Pre survey was done for implementing CBR database to find individual index affecting survey quality and post survey was used for measuring the performance of personalized internet survey system. The result shows that the survey quality of personalized web survey system is better than generalized web survey system.