Efficient Rule Set Generation using Rough Set Theory for Classification of High Dimensional Data
نویسندگان
چکیده
منابع مشابه
Efficient Rule Set Generation using Rough Set Theory for Classification of High Dimensional Data
In this paper, a rough set theory (RST) based approach is proposed to mine concise rules from inconsistent data. The approach deals with inconsistent data. At first, it computes the lower and upper approximation for each concept, then adopts a learning from an algorithm to build concise classification rules for each concept satisfying the given classification accuracy. Lower and upper approxima...
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ژورنال
عنوان ژورنال: International Journal of Smart Sensor and Adhoc Network.
سال: 2011
ISSN: 2248-9738
DOI: 10.47893/ijssan.2011.1036