An Error Reduction Hybrid for Achieving Near to Exact Classification Using KSTAR and IBK Classifier
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
The data mining which is the source of the all the discovery of knowledge, classification always play a vital role and it really means, so without proper classification it is impossible to find the proper accuracy, so this paper gives the maximum error reduction by using the mention data mining classifier. The combination of both classifier exhibits the high rate of error elimination.
Authors and Affiliations
Prasanta Kumar Nanda, Praveen Chouksey
Keywords
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