in the research of data mining-based intrusion detection, data mining algorithms close rely on high standard training datasets, and this limits the validity and generality of results in this field.
在基于数据挖掘的入侵检测研究中往往紧密地依赖于高标準的训练数据集,这严重制约了这一领域研究成果的有效性和通用性。