中文摘要：

检测谁的异例是困难的在一些数据属性之中匹配关系与其它很不同“在数据集。瞄准这个问题，一条途径基于为检测并且修改异常样品的小浪分析被建议。小浪分析的 Takingfull 优点“多决定和本地分析的性质，这条途径能有效地检测并且修改异常样品。为一个分离序列认识到小浪翻译的快速的数字计算，一个修改算法基于 onNewton 核心公式也被建议。试验性的结果证明途径与好结果和好实物是可行的。

英文摘要：

It is difficult to detect the anomalies whose matching relationship among some data attributes is very different from others＇ in a dataset. Aiming at this problem, an approach based on wavelet analysis for detecting and amending anomalous samples was proposed. Taking full advantage of wavelet analysis＇ properties of multi-resolution and local analysis, this approach is able to detect and amend anomalous samples effectively. To realize the rapid numeric computation of wavelet translation for a discrete sequence, a modified algorithm based on Newton-Cores formula was also proposed. The experimental result shows that the approach is feasible with good result and good practicality.