基于云模型的异常挖掘算法
Outlier Mining Algorithm Based on Cloud Model
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摘要: 针对基于距离的异常挖掘算法对混合属性数据进行异常挖掘时检测率低的问题，引入概率的思想提出基于云模型的差异度计算公式，并设计了基于云模型的异常挖掘算法，实验结果表明该算法检测率高，误报率低。Abstract: According to the problem of low detection rate for mixed value data outlier mining based on the distance of the outlier mining.By introducing probability idea,put forward a difference degree calculation formula and outlier mining algorithm based on cloud model.The experimental results show that this algorithm has a high detect rate and the distorting rate is lower.
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