基于随机化的数据扰乱及重构技术是数据挖掘中的隐私保护(Privacy-Preserving Data Mining,PPDM)领域中最重要的方法之一。但是,随机化难以消除由于属性变量本身相关性引起的数据泄漏。介绍了一种利用主成分分析(Principal Component Anal-ysis,PCA)进行属性精简的增强随机化方法,降低了参与数据挖掘的属性数据间相关性,更好地保护了隐私数据。
Power series is extensively used for engineering studies. To raise the synthesis efficiency and computation accuracy of vibration mode synthesis (MS), the choos
Alkali treatment can change the structures and properties of cellulosic fibers. The aim of this work was to study the mechanism of structure changes of Tencel f