它通过鉴定模式和流媒体模式来识别数千小时的归档和未标记数据。

It works in both forensic mode to identify activities in thousands of hours of archived, untagged data and in streaming mode.

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为了解决该方法存在的训练数据集问题，本文改进了现有的贝叶斯分类算法，提出了利用未标记数据提高贝叶斯分类器性能的方法。

In order to solve the problem existing in training data sets, present Bayes algorithm is im - proved and an algorithm using unlabeled data to improve the capability of the classifier is proposed.

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