Rough set with Effective Clustering Method
نویسنده
چکیده
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.
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تاریخ انتشار 2013