• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2006, Vol. 28 ›› Issue (6): 84-85.

• 论文 • Previous Articles     Next Articles

  

  • Online:2006-06-01 Published:2010-05-20

Abstract:

This paper puts forward rules-conversion model because we can sults illustrate that we can simplify the can solve the noise problem in practical a generalized maximal-rule-learning method and a generalized maximal-minimal always encounter noise problems in most real-world applications. Experimental re single rule as well as reduce the number of rules through the GMM method, and we applications effectively

Key words: data mining, rough set, noise, knowledge reduction