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Rough set with Effective Clustering Method
G.RAMANI Assistant Professor, Department of MCA, Padamasri Dr. B. V. Raju Institute of Technology, Narasapur, Medak Dist., India
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Abstract: Rough set theory is a powerful mathematical tool that has been applied widely to extract knowledge from many databases .Rough set theory is proposed to mine rules from the Data warehouse. It constructs concise classification rules for each concept satisfying the given classification accuracy. Due to some drawbacks we suggest rough set with clustering methods to achieve more precision and Shows greater accuracy results in the proposed approach where groups a set of data so that the intra-cluster similarity is maximized and the inter-cluster similarity is minimized.
Keywords: Rough set, clustering, Precision.
Keywords: Rough set, clustering, Precision.
How to Cite:
[1] G.RAMANI Assistant Professor, Department of MCA, Padamasri Dr. B. V. Raju Institute of Technology, Narasapur, Medak Dist., India , βRough set with Effective Clustering Method,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
This work is licensed under a Creative Commons Attribution 4.0 International License.