Chinese translation for "缺失数据"

missing data

Related Translations:

平衡缺失:  loss of balance

胰缺失:  apancrea

单向缺失:  unidirectional deletion

古生物缺失:  hiatus in the fossil record

甲状腺缺失:  absence of thyroid gland

腓骨缺失:  absence of fibula

听觉缺失:  anakusisanaudia

岩层缺失:  omission

脉搏缺失:  deficient pulse

缺失图谱:  deletion map

Example Sentences:

	1.	Imputation adjustment method for missing data 缺失数据的插补调整
	2.	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
	3.	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
	4.	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。
	5.	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。
	6.	( 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。
	7.	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。
	8.	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。

Similar Words：

"缺失记录" Chinese translation, "缺失假说" Chinese translation, "缺失扩大" Chinese translation, "缺失率" Chinese translation, "缺失容许度" Chinese translation, "缺失损失" Chinese translation, "缺失体" Chinese translation, "缺失突变" Chinese translation, "缺失突变体" Chinese translation, "缺失图绘制" Chinese translation