但是它不仅仅是一个分类方案，ODC是一个软件过程的度量系统，它是建立在包含于缺陷流中的语义信息基础上的。

But it's more than a classification scheme; ODC is a measurement system for software processes based on the semantic information contained in the defect stream.

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对汽车微机故障自诊断系统输出的数据流分类，列举了部分最常用的参数并进行分析、归纳。

This paper classifies the output data flow of computer fault self diagnosis system for auto, it lists several common parameters and then analyses them and concludes them.

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提出了一种k-均值聚类算法和SOM自组织神经网络算法相结合的异常检测模型，使得系统可以更好的分类正常数据流和异常数据流，以此来防范未知的攻击。

Secondly, the anomaly detection model based on K-means algorithm and SOM network is constructed. It can classify the normal and abnormal network data stream so better to detect the unknown attack.

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