It can filter data on a per-user basis.
可以在每个用户的基础上筛选数据。
We will see more about using cursors and queries to filter data next.
接下来我们将了解更多有关使用指针和查询来筛选数据的方法。
Doing so can be useful if you need to write queries that filter data based on XML and non-XML column values.
如果需要编写根据XML和非xml列的值过滤数据的查询，那么这样做很有用。
As an example, the Atmosphere’s Broadcaster is very useful when it is time to push/aggregate/filter data between suspended connections.
例如，Atmosphere的Broadcaster在挂起的连接之间push/aggregate/filter数据时就非常有用。
And finally, we needed to determine our overall data access strategy — which data to retrieve first, how we would filter data at each source, etc.
最后，我们还需要确定整体数据访问策略——先检索什么数据，如何在每个源上过滤数据等。
How can I filter data in this way?
我怎么能过滤这样的数据？
Using Adaptive Kalman filter to filter data obtained by GPS sub-system.
对GPS子系统则采用普通的自适应卡尔曼滤波对其进行滤波处理。
To solve this problem, the disperse filter data fusion scheme is proposed.
针对这一问题，进一步提出了基于分散滤波的数据融合方案。
The control can be used to filter data in markup of a Web page by using declarative syntax.
此控制项可用来透过宣告式语法筛选网页标记中的资料。
Adds the filter data of the filters that match the specified message or buffered message to a collection.
将符合指定讯息或缓冲讯息之筛选条件的筛选资料加入至集合。
You may choose to include some of the filter predicates in MQTs if you think that your queries would always filter data using the same constant value.
如果您认为自己的查询总是使用相同的常量值过滤数据，那么您可能选择在MQT中包含一些过滤器谓词。
How to: Filter Data on a Screen.
如何筛选视图中的数据。
Considering the radiation problem of filtering resulting from the inaccurate model of the Kalman filter, data fusion algorithm based on the fuzzy Kalman filter is advanced.
并针对卡尔曼滤波因模型不准确而导致的滤波发散问题，提出了模糊卡尔曼的数据融合算法。
Text classification is widely applied in many fields, such as text retrieval, information filter, data organization, information management and etc.
文本分类在文献检索、信息过滤、数据组织、信息管理等领域中应用十分广泛。
Text classification is widely applied in many fields, such as text retrieval, information filter, data organization, information management and etc.
文本分类在文献检索、信息过滤、数据组织、信息管理等领域中应用十分广泛。
应用推荐