As there is an ever-increasing volume of online documents in the enterprise, a systematic organization of enterprise content through classification becomes more and more important.
随着企业中在线文档的数量不断增加，通过分类对企业内容进行系统化的组织变得越来越重要了。
The test result shows that the SVDD algorithm has high computing efficiency and good effects of classification, meeting the requirements of online detection.
结果表明SVDD算法计算效率高，分类效果好，可以满足在线检测的要求。
Experimental results show that the designed classifier has many advantages of high training speed, short test time and high classification accuracy on fault diagnosis for rotor systems online.
将该方法应用于转子系统在线故障诊断中，结果表明，所设计的算法具有训练速度快、测试时间短、分类准确率高等特点。
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