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- W211073722 abstract "In coagulant control of water treatment plants, rule extraction, one of datamining categories, was performed for coagulant control of a water treatment plant. Clustering methods were applied to extract control rules from data. These control rules can be used for fully automation of water treatment plants instead of operator's knowledge for plant control. To perform fuzzy clustering, there are some coefficients to be determined and these kinds of studies have been performed over decades such as clustering indices. In this study, statistical indices were taken to calculate the number of clusters. Simultaneously, seed points were found out based on hierarchical clustering. These statistical approaches give information about features of clusters, so it can reduce computing cost and increase accuracy of clustering. The proposed algorithm can play an important role in datamining and knowledge discovery." @default.
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- W211073722 date "2005-01-01" @default.
- W211073722 modified "2023-10-06" @default.
- W211073722 title "Development of Datamining Roadmap and Its Application to Water Treatment Plant for Coagulant Control" @default.
- W211073722 hasPublicationYear "2005" @default.
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