한국데이터정보과학회:학술대회논문집
- 한국데이터정보과학회 2006년도 추계 학술발표회 논문집
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- Pages.21-27
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- 2006
Environmental Survey Data Analysis by Data Fusion Technique
- Cho, Kwang-Hyun (Department of Statistics, Changwon National University) ;
- Park, Hee-Chang (Department of Statistics, Changwon National University)
- 발행 : 2006.11.17
초록
Data fusion is generally defined as the use of techniques that combine data from multiple sources and gather that information in order to achieve inferences. Data fusion is also called data combination or data matching. Data fusion is divided in five branch types which are exact matching, judgemental matching, probability matching, statistical matching, and data linking. Currently, Gyeongnam province is executing the social survey every year with the provincials. But, they have the limit of the analysis as execute the different survey to 3 year cycles. In this paper, we study to data fusion of environmental survey data using sas macro. We can use data fusion outputs in environmental preservation and environmental improvement.