摘要
进行数据挖掘之前的原始数据经常是不完整或存在异常,针对这种情况,在众多数据预处理算法的基础之上,文中提出了一种基于遗传算法的数据预处理组合方法,能有效的利用各种方法的优点,提高了估计的精确度.通过实验证明,该方法优于其他各种单一方法.
The original data that before data mining are often incomplete or abnormal.In view of this situation,on the basis of many data pretreatment algorithm,this paper presents a combination methods in data pretreatment based on genetic algorithm,which can effectively use the advantages of various methods,and improve the accuracy of the estimate.The experiments prove that this method is superior to other single methods.
出处
《西安文理学院学报（自然科学版）》
2009年第4期73-75,共3页
Journal of Xi’an University(Natural Science Edition)
