noisy data meaning in English
噪声数据
Examples
- In the end of each algorithm , we give numerical examples to show how our models can be used to smooth noisy data as well as examples of fusing multiscale data
在每一种方法的最后，我们通过若干仿真实例进一步阐明了多尺度数据融合算法的进行过程，同时说明了算法的有效性 - The fine structures of solar radio dynamic spectra involved in this paper can offer metric information , but we can only get noisy data showing reticulate superimposed on the dynamic spectra
太阳射电爆发精细结构包含许多有用的信息，但是实际中我们只能得到噪声叠加的太阳射电爆发频谱图，表现为频谱图中的纵横条纹。 - It is shown that ripper is superior to other algorithms in terms of complexity in computation , classified precision and noisy data adaptability because of its adoption of the repeated incremental reduction mechanism , and it is more suitable to the intrusion detection
由于ripper分类算法采用了重复增量裁减机制，所以在计算复杂性、分类精度、噪音数据适应性等方面都优于其它分类算法，更适用于入侵检测建模使用。 - But in many cases , the traditional algorithms are hard to apply , or the application effects are not good . these cases include noisy data , redundant information , incomplete data , and sparse data in database . neural networks can acquire knowledge by training set
本文针对现有数据挖掘方法在很多情况下难以推广应用，例如对于有噪声的数据、有冗余的信息、数据不完整、数据稀疏等情况下，这些传统算法的使用效果往往不佳。 - An information entropy - based uncertainty measure is presented first based on generalized rough set model in this paper , which is suitable for evaluating rules retrieved from noisy data . second , this paper puts forward generalized minimal - and - maximal - rules - learning methods and generalized maximal - minimal - rules - conversion model because we can encounter noisy problems in most real - life problems . third , this paper puts forward a new discretization method for the continuous attributes , which is based on the clustering and rough sets theory
本文在对粗集及其相关理论的研究基础上，首先给出了一种基于推广粗集模型和信息熵的规则不确定性量度，该不确定性量度适于评价从有噪音数据中提取的规则；鉴于实际应用中经常能遇到噪音的问题，本文提出广义极小极大规则学习方法，同时还提出了广义极大极小规则转换模型gmm ；最后，本文基于聚类方法、结合粗集理论提出了一种新的连续属性离散化方法。