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1)  RDB Reference Data and Bias
基准数据和偏离
2)  off-line data
偏离数据
3)  deviated group data
偏离群数据
1.
After analyzing the current detection technology,a detection method of the deviated group data based on confident interval is proposed,in which an effective stylebook is screened out from the group data,a credible stylebook is found from the effective stylebook using a genetic arithmetic,a confident interval is obtained based on credible stylebook,then the group data will be detecte.
该文提出一种基于置信区间的偏离群数据检测方法,从总体中筛选出有效样本,利用遗传算法从中找到可信样本,利用可信样本确定置信区间,基于置信区间对总体进行检测及处理。
4)  bias data
偏离数据,偏置数据
5)  shift-share benchmark
偏离份额基准
1.
Based on the analysis of the shift-share-method and bussiness location method,the shift-share benchmark is established as a benchmark for the choice of leading industry to analyse leading industry of Shanghe county.
以济南商河县为例,运用偏离-份额与区位熵相结合的分析方法,建立主导产业选择的偏离份额基准,对商河县主导产业进行分析。
6)  isolation of data and services
服务和数据分离
补充资料:数据通信网(见数据通信)


数据通信网(见数据通信)
data communication network

  shu)u tongxinwang数据通信网(datac。mmunicati。nne饰ork)见数据通信。
  
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