缺失数据的英文

• missing data

• "缺失"英文翻译    hiatus; deficiency; deletion
• "数据"英文翻译    data; record; information
• "丢失数据" 英文翻译 :    lost data; obliterated data
• "漏失数据" 英文翻译 :    missing data
• "损失数据" 英文翻译 :    lost data
• "易失数据库" 英文翻译 :    volatile data base
• "丢失数据问题" 英文翻译 :    missing data problem
• "擦除数据, 丢失数据" 英文翻译 :    obliterated data
• "全国火灾损失数据系统" 英文翻译 :    nflds = national fire loss data system
• "人身伤害或财产损失，包括丢失数据" 英文翻译 :    indicates the presence of a hazard that if not avoided can or will cause minor personal injury or property damage, including loss of data
• "缺失" 英文翻译 :    hiatus; deficiency; [遗传学] deletion
• "帧丢失数" 英文翻译 :    fd frames dropped
• "计算损失数量" 英文翻译 :    loss quantification
• "丢失数组界限符" 英文翻译 :    array bounds missing
• "鼻缺失" 英文翻译 :    absence of nose
• "道缺失" 英文翻译 :    trace misssing
• "钙缺失" 英文翻译 :    calciprivia
• "喉缺失" 英文翻译 :    absence of larynx
• "碱缺失" 英文翻译 :    base deficit (bd)
• "缺失；洼地" 英文翻译 :    lacuna
• "缺失法" 英文翻译 :    deletion method
• "缺失环" 英文翻译 :    deficiency loop; deletion loop
• "缺失率" 英文翻译 :    miss rate
• "缺失体" 英文翻译 :    deletant
• "缺失位" 英文翻译 :    bit missing; bit, missing

• Imputation adjustment method for missing data
  缺失数据的插补调整
• Estimation and test for two special exponential populations with partially missing data
  部分缺失数据两个特殊指数总体的估计和检验
• Asymptotic property of estimated with locally linear regression from missing data at random
  缺失数据下局部线性回归估计的渐近性质
• Filling missing values , smoothing noise data and removing inconsistent data are all adopted to gain high quality data
  通过补全缺失数据、平滑噪声数据、消除不一致数据等技术，得到高质量的数据。
• The present paper deals with the asymptotic properties of estimation and likelihood ratio test for - two exponential populations with partially missing data
  摘要讨论部分缺失数据两指数总体的参数估计和关于总体相同的似然比检验。
• ( 2 ) the point estimation and interval estimation of parameters under type - censored case and the point estimation of parameters based on the missing data and grouped data are obtained , respectively
  ( 2 )定时截尾场合下参数的点估计和区间估计以及缺失数据和分组型数据埸合下参数的点估计。
• In this paper , a missing data rotative reconstruction algorithms based on rough theory is proposed , and the complexity of the algorithms is analyzed , finally a missing data reconstruction experiment with a typical dataset is conducted
  摘要提出了一种基于粗糙集理论的缺失数据循环搜索重建算法，分析了算法的复杂性，并选择一个典型数据集进行了缺失数据重建的实验。
• 5 . data preparation is essential procedure before data mining , and the thesis presents two algorithms for the filling of missing values and the finding of duplicates , two of data problems in data preparation . at first , the thesis uses of rough analysis to predict the missing values with known values to solve the problem of missing values , and the results are with higher accuracy ; then the thesis uses partition data table and quick sort method to find duplicates , which can decrease the searching time for finding
  数据预处理是数据挖掘之前的必要准备步骤，针对数据预处理问题中的缺失数据与重复数据的挖掘问题提出两种算法，首先针对缺失数据问题，浙江大学博士学位论文利用rough集理论通过对己知数据进行预测实现对缺失数据的填补，达到了一定的预测精度;然后针对重复数据问题，利用数据表分解技术以及快速排序方法实现重复数据的发现，并降低了重复数据的发现时间。

• 缺失数据的法语：Données manquantes
• 缺失数据的韩语：손실 데이터