基于贝叶斯理论的分类模式挖掘方法研究

Reseach in Classification Method of Data Mining on Bayes Theory

分类规则可以挖掘出某些共同特性,是数据挖掘的重要方法之一。将贝叶斯理论应用于分类模式挖掘算法的设计中,可使分类的错误率最小,设计出更加完善的挖掘算法,从而提高数据挖掘的准确性和有效性。

Through the classification , we can find many general character. It is one of the important method in data mining, through the using of Bayes theory in data mining, we can get the least error in classification, and design the best data mining algorithm. So we can imporve the exactitude and effiectiveness in data mining.