The minimum squared Euclidean distance(MSED) of binary multi-h phase codes is presented. The signal segregation degree(SSD) has been put forward to determine MSED of multi-h phase codes. In order to maximize MSED, SSD...The minimum squared Euclidean distance(MSED) of binary multi-h phase codes is presented. The signal segregation degree(SSD) has been put forward to determine MSED of multi-h phase codes. In order to maximize MSED, SSD should be as large as possible. The necessary and sufficient conditions of maximizing SSD are derived. Finally, SSD and the exact formulae for MSED of binary 2-h phase codes are also presented.展开更多
近年来国内外学者对隐私保护数据挖掘(privacy-preserving data mining,PPDM)进行了大量研究,适时地对研究成果进行总结,能够明确研究方向。从分类挖掘、关联规则挖掘、聚类挖掘和安全多方计算等几个方面,总结了现有的基于同态加密技术...近年来国内外学者对隐私保护数据挖掘(privacy-preserving data mining,PPDM)进行了大量研究,适时地对研究成果进行总结,能够明确研究方向。从分类挖掘、关联规则挖掘、聚类挖掘和安全多方计算等几个方面,总结了现有的基于同态加密技术的算法,分析了其基本原理和特点,并在此基础上指出了PPDM技术今后发展的方向。展开更多
文摘The minimum squared Euclidean distance(MSED) of binary multi-h phase codes is presented. The signal segregation degree(SSD) has been put forward to determine MSED of multi-h phase codes. In order to maximize MSED, SSD should be as large as possible. The necessary and sufficient conditions of maximizing SSD are derived. Finally, SSD and the exact formulae for MSED of binary 2-h phase codes are also presented.
文摘近年来国内外学者对隐私保护数据挖掘(privacy-preserving data mining,PPDM)进行了大量研究,适时地对研究成果进行总结,能够明确研究方向。从分类挖掘、关联规则挖掘、聚类挖掘和安全多方计算等几个方面,总结了现有的基于同态加密技术的算法,分析了其基本原理和特点,并在此基础上指出了PPDM技术今后发展的方向。