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缺损属性的补充方法——迭代MVC 被引量:4
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作者 李庆华 周建红 《华中科技大学学报(自然科学版)》 EI CAS CSCD 北大核心 2002年第2期111-113,共3页
迭代MVC法是一种基于关联规则推导的缺损属性补充方法 ,通过RAR(RobustAssociationRules)算法产生候选关联规则 ,使用补充关联规则选择策略和用户的交互选出补充关联规则 ,进行缺损属性的补充 ,减少补充属性的噪音引入 ,提高数据补充的... 迭代MVC法是一种基于关联规则推导的缺损属性补充方法 ,通过RAR(RobustAssociationRules)算法产生候选关联规则 ,使用补充关联规则选择策略和用户的交互选出补充关联规则 ,进行缺损属性的补充 ,减少补充属性的噪音引入 ,提高数据补充的正确度 ,增强数据挖掘的精确度 . 展开更多
关键词 数据仓库 数据挖掘 数据清理 缺损属性 关联规则 迭代MVC法 补偿方法
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Properties of Defect Modes in Periodic Lossy Multilayer with Negative-Index-Materials
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作者 Alireza Aghajamal Mahmood Barati 《Communications in Theoretical Physics》 SCIE CAS CSCD 2013年第7期80-86,共7页
Employing the characteristic matrix method, this study investigates transmission properties of onedimensional defective lossy photonic crystals composed of negative and positive refractive index layers with one lossle... Employing the characteristic matrix method, this study investigates transmission properties of onedimensional defective lossy photonic crystals composed of negative and positive refractive index layers with one lossless defect layer at the center of the crystal. The results of the study show that as the refractive index and thickness of the defect layer increase, the frequency of the defect mode decreases. In addition, the study shows that the frequency of the defect mode is sensitive to the incidence angle, polarization, and physical properties of the defect layer, but it is insensitive to the small lattice loss factor. The peak of the defect mode is very sensitive to the loss factor, incidence angle, polarization, refractive index, and thickness of the defect layer. This study also shows that the peak and the width of the defect mode are affected by the numbers of the lattice period and the loss factor. The results can lead to designing new types of narrow filter structures and other optical devices. 展开更多
关键词 one-dimensional photonic crystal defect mode loss factor negative index material
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