한국데이터정보과학회:학술대회논문집
- 한국데이터정보과학회 2006년도 PROCEEDINGS OF JOINT CONFERENCEOF KDISS AND KDAS
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- Pages.241-251
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- 2006
Industrial Waste Database Analysis Using Data Mining
- Cho, Kwang-Hyun (Department of Statistics, Changwon National University) ;
- Park, Hee-Chang (Department of Statistics, Changwon National University)
- 발행 : 2006.04.28
초록
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. The methods of data mining are decision tree, association rules, clustering, neural network and so on. We analyze industrial waste database using data mining technique. We use k-means algorithm for clustering and C5.0 algorithm for decision tree and Apriori algorithm for association rule. We can use these analysis outputs for environmental preservation and environmental improvement.