한국데이터정보과학회:학술대회논문집
- 한국데이터정보과학회 2005년도 춘계학술대회
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- Pages.18-24
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- 2005
Exploration of Association Rules for Social Survey Data
- Park, Hee-Chang (Department of Statistics, Changwon National University) ;
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Cho, Kwang-Hyun
(Department of Statistics, Changwon National University)
- 발행 : 2005.04.29
초록
The methods of data mining are decision tree, association rules, clustering, neural network and so on. Data mining is the method to find useful information for large amounts of data in database. It is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. We analyze Gyeongnam social indicator survey data by 2003 using association rule technique for environment information. Association rules are useful for determining correlations between attributes of a relation and have applications in marketing, financial and retail sectors. We can use association rule outputs in environmental preservation and environmental improvement.