Journal of the Korean Data and Information Science Society
- Volume 17 Issue 2
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- Pages.455-465
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- 2006
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- 1598-9402(pISSN)
Industrial Waste Database Analysis Using Data Mining Techniques
- Cho, Kwang-Hyun (Department of Statistics, Changwon National University) ;
- Park, Hee-Chang (Department of Statistics, Changwon National University)
- Published : 2006.05.30
Abstract
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, and 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 outputs for environmental preservation and environmental improvement.