提出了一种基于粗糙集的不完备信息系统数据填补方法。
This paper brought forward a data packing method of incomplete information system based on rough sets and grey system theory.
根据无线网络业务数据的特点，提出一种基于模糊聚类的数据填补算法。
According to the features of wireless network data, this paper puts forward a data complement algorithm based on fuzzy clustering.
分析了在含有遗失值的数据集上如何进行有效的数据填补，以便更客观地反映数据集中数据所隐含的内在联系。
The way of effective data complement for a data set with missing values was analyzed so as to reflect more objectively internal relationship among data in data set.
该方法将两者优势互补，对单一方法的填补结果进行加权平均，增强了算法的可靠性，提高了数据填补的精度。
The reliability of the method is strengthened, and the precision in flight data complement is enhanced with the combined method.
针对这个问题详细阐述了空间不完备数据的检测和填补方法，重点介绍了基于克里格插值法的空间数据填补方法。
The detecting methods and resume methods are particularly introduced in this paper, emphasis on the resuming methods of incomplete spatial data base on kriging interpolation algorithm.
从许多国家收集来的隐含数据都有丢失现象或者不可靠，所以让那些数字能人利用电脑建立模型来填补空白是可行的。
The underlying data from many countries are missing or unreliable, so it is accepted practice for number-crunchers to use computer modelling to fill in the blanks.
所以，今天的车辆行为模式在很大程度上是依靠从调查和道路传感器收集的经验数据来填补理论空白的。
As a result, today’s traffic models rely heavily on empirical data from surveys and road sensors to plug the holes in the theory.
所以，今天的车辆行为模式在很大程度上是依靠从调查和道路传感器收集的经验数据来填补理论空白的。
As a result, today's traffic models rely heavily on empirical data from surveys and road sensors to plug the holes in the theory.
事件关联系统(event correlation systems)尝试去分析不同来源的审核数据，并将之互相联系起来。虽然事件关联系统试图填补这个角色空白，但它们经常只是制造出更多的误报。
Event correlation systems that attempt to analyze and correlate audit data from disparate sources try to fill this role, but they often end up generating more false positives than anything else.
然而，随着数据架构的成熟化，采取一些工作来“填补空白”是适合的。
However, as the data architecture matures, it may be appropriate to undertake some work to "fill in the gaps."
在加拿大，已经采用Populated的一致性强度来填补了Required和Mandatory之间的空白，其表示必须使用数据支持的元素(其不能为空)。
In Canada, a conformance strength of Populated has been adopted to fill a gap between Required and Mandatory, representing an element that must be supported with data (it cannot be empty).
如果没有，是否可以获取外部数据源来填补这一差异？
If not, can external data sources be acquired to fill the gap?
这填补了亚马逊可用数据能力的存储容量，并防止了其他网站获得他们的数据。
That filled up Amazon's available storage capacity and prevented some sites from accessing their data.
数据库角色可用于填补外部组关系留下的鸿沟。
Database roles can be used to close the gaps left behind by the external group membership.
这是因为我们的心理就是被设计用来填补空白的，我们设法将我们所见所闻的事物跟头脑中的数据库做匹配。
Its because our minds were designed to fill gaps and so we try to match the things that we see or hear with the databases in our minds.
目前来说，多数原生xml数据库都以各种不同的、专有的方式填补了这一漏洞，通常作为XQuery的扩展实现。
For the moment, most native XML databases fill this hole in various, proprietary ways, often implemented as an XQuery extension.
例如Google的地图制作服务通过志愿者提交数据来填补世界很多地方的数据缺失。
Google's map Maker service, for example, makes up for the lack of map data for much of the world by asking volunteers to provide it.
首先，我们需要一种方法来填补所有的在树视图中的数据。
First of all, we need a method to fill all the data in the tree view.
这是用来填补数据。
不过，数据也只是填补电脑驱动器，直到它提出的智能形式的人。
But data does nothing but fill computer drives until it is presented in an intelligent form to people.
此次调查将填补领海基点及海岛周边海域的基线等数据空白。
The survey will determine unspecified base points and baselines of the country's territorial waters around the islands.
本文研究结果填补了这些药物热力学性质数据的空白。
The research work of this thesisfilled the blank of the thermodynamic property data of these drugs.
方法用MI对缺失数据进行填补，用标准的统计程序对填补后的数据集分析，最后用多重填补分析综合各个数据集的统计分析结果。
Methods Using MI to fill in missing data and analyzing the multiply imputed data sets with standard statistical procedure, then combining the statistical inferences with MIANALYZE procedure.
结论多重填补方法可以处理有缺失数据资料中的许多普遍问题，可提高统计效率，尤其是MCMC模型在处理复杂的缺失数据上，优势明显。
Conclusion mi is able to solve a variety of problems in missing data sets and to improve the statistical power, especially with the use of MCMC method, for complicated missing data sets.
结论多重填补与多重填补分析为处理存在缺失数据的资料提供了有效的策略。
Conclusion mi and MIANALYZE procedures provide a valid strategy for handling data set with missing values.
综合数据缺失值的单一填补和多重填补方法，提出一种新的信用指标缺失值填补方法—KNNMI。
In combination single imputation of missing data with multiple imputation, a new missing data imputation—KNNMI is proposed.
综合数据缺失值的单一填补和多重填补方法，提出一种新的信用指标缺失值填补方法—KNNMI。
In combination single imputation of missing data with multiple imputation, a new missing data imputation—KNNMI is proposed.
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