Based on the order statistics of incomplete data, a regression analysis method for incomplete data is presented.
基于不完全数据顺序统计量，提出一种不完全数据回归分析方法。
The regression equation for incomplete data is established, and the best unbiased integral estimators of the regression parameters and their covariance matrix are also given.
建立不完全数据回归方程，给出回归系数的最佳无偏整体估计及其协方差矩阵。
Applying rough theory in data mining field can improve the analyzing and learning ability for incomplete data of large database, which has extensive applied prospect and applied value.
将粗糙集应用于数据挖掘领域，能提高对大型数据库中的不完整数据进行分析和学习的能力，具有广泛的应用前景和实用价值。
Lastly, he is highly imaginative since he often has to look for relationships in data which are not only complex but also frequently incomplete.
最后，他非常有想象力，因为他经常需要在数据中寻找关系，这些数据不仅复杂，而且经常是不完整的。
I use a block cipher algorithm for encryption that requires the clear data bytes to be in blocks of 8 bytes, so I pad the last incomplete block with some characters.
我对需要将明文数据字节放在8字节块的加密使用块密码算法，所以我用一些字符填充最后一个不完整的块。
In addition to missing data or incomplete mappings, the mashup designer might discover that the data they wish to integrate is not suitable for machine automation; that it needs cleansing.
除了缺少数据和映射不完整之外，mashup设计者可能会发现他们希望集成的数据并不适合进行机器自动化处理；这将带来很多净化工作。
A question of formation confidence interval for scale parameter of normal distribution from incomplete observational data is discussed.
对于残缺的样本观测数据，讨论了正态分布总体尺度参数的区间估计问题。
For a given incomplete decision table, the algorithm constructs decision tree using the improved ID3 algorithm, and fills the missing data in the process of constructing the decision tree.
对于给定的不完全决策表，该算法应用改进的ID 3算法来构造决策树，在构造决策树的过程中对遗失值进行补充。
IA new method based on generalized maximum entropy is applied in estimating parameters of structural equation model, which is meant for situations with limited or incomplete data.
提出应用广义最大熵的方法对结构方程模型的参数进行估计，该方法能够处理有限的或者不完全数据。
An efficient numerical method for simultaneously updating mass matrix and stiffness matrix of a finite element analytical model based on incomplete modal data measured is presented.
提出一种基于不完全模态测量数据同时修正有限元质量矩阵与刚度矩阵的有效数值方法。
In this paper we discuss the convergence of the EM algorithm for iterative computation of maximum likelihood estimates when the observations can be viewed as incomplete data.
本文讨论EM算法的收敛性，其中EM算法是不完全数据处理中的一类重要的参数估计的迭代算法。
RS doesn't depend on additional information beyond the data set, which is a potent tool for dealing with vague, imprecise, incomplete and uncertain data, and is a new technology in Data Mining.
它不依赖于数据集之外的附加信息，是处理含有噪声、不精确、不完整数据的有力工具，是一种新的数据挖掘技术。
Some factors, such as modeling error, measured noises, incomplete measured data, are main difficulties for many structural damage processes being utilized.
模型误差、量测噪声及量测数据不完整等因素是制约结构损伤识别技术应用的主要难点。
Then, three equivalent clustering algorithms are provided for the dataset with fragmentary samples, which decreases the influence of incomplete data on clustering.
提出样本目标值残缺情况下的三种等效聚类算法，可使残缺数据样本有效地参加聚类，减少样本数据残缺对聚类的影响；
This article proposes a data sorting method via the EM algorithm, for the purpose of mining high-quality decisions by performing data reasoning in a database with incomplete, noisy and uncertain data.
针对存在不完整、含噪声和不确定数据的数据库，通过挖掘高质量的决策，对数据库的数据进行推理，提出了一种基于EM算法的数据清理方法。
Quotient space theory for treatment of high-dimensional, incomplete, complex, vague, massive data, there are unique advantages.
商空间理论在处理高维、不完备、复杂的、模糊的、海量数据时，有其独特的优势。
An efficient numerical method for the finite-element model updating of damped gyroscopic system was developed based on incomplete complex modal measured data.
提出了一种基于不完备复模态测量数据修正阻尼陀螺系统有限元模型的有效数值方法。
This paper proposed an improved algorithms in incomplete information system data in the context of dynamic changes of attribute reduction for the existing algorithms.
本文重点研究了在不完备信息系统中数据动态变化情况下的属性约简问题，针对已有算法提出了改进的算法。
Based on plenty of account data, engineering estimated formulas for plastic limit internal pressure were fitted for welded pipe branch junction with incomplete penetration along intersecting line.
基于大量计算数据，拟合得出整圈未焊透三通量纲一塑性极限内压工程估算公式。
Attributeoriented knowledge discovery method is proved to be a powerful approach for mining incomplete data in the large database in our experiment of this paper.
实验证明利用这种基于属性的知识发现方法处理缺损数据是很有效的。
Finally, they are imaginative enough to look for relationship in data which is complex and incomplete and to make hypotheses.
最后，他们很富有想象力，努力寻找复杂而不完善的数据之间的关系，并做山假设。
Finally, they are imaginative enough to look for relationship in data which is complex and incomplete and to make hypotheses.
最后，他们很富有想象力，努力寻找复杂而不完善的数据之间的关系，并做山假设。
应用推荐