Click the Data Tree to select a city.
点击Data Tree选择一个城市。
Figure 31 shows how the Data Tree should look.
图31显示了Data Tree应当显示的样子。
This line of code returns the user root of the data tree.
这一行代码返回数据树的userroot。
Understanding parallel data tree structure and how to control it.
并行数据结构深入理解和控制。
During the process of designing the JSP page, the Data Tree might lose its configuration.
在设计jsp页面的过程中，Data Tree可能会丢失其配置。
Examine each value in the tree and record its data.
检查树中的每个值，并记录其数据。
Essentially, you need to update the data store if you want to modify the tree.
最重要的是，如果想要修改树，您需要更新数据存储。
Reason about the data in the expression tree, and do custom processing over it.
推断表达式树内数据，并对它做自定义处理。
Instead, you need to update the tree model that is connected to the data store.
反而，您需要更新连接到数据存储的树模型。
The data is now moved from EIS directly into the message tree.
数据现在从EIS直接移动到消息树。
Data graphs provide a container for a tree of data objects.
数据图提供了数据对象树的容器。
Tree and graph to work without "client data"
不需要使用“客户数据”工作的树和图表
TreeModel is also in charge of notifying the Tree of changes to the data.
TreeModel还负责将Tree的更改通知给该数据。
PyRXP's tuple tree data structure.
pyRXP的元组树数据结构。
Web3S data is further constrained to be a self enclosed tree.
Web3S数据更进一步被局限为一个自我封闭的树。
Expand the SALES_DOCS in the tree view to reveal the five returned data columns.
在树型视图中展开SALES_DOCS，显示5个返回数据列。
You can store any data including binary files inside of the tree structure.
您可以存储任何数据，包括二进制文件内的树状结构。
The Device Tree is a data structure for describing hardware.
设备树是一种用于描述硬件的数据结构。
This paper firstly introduces the principle of Data Mining technology and the decision tree method.
本文首先详细介绍了数据挖掘技术及其中的决策树方法。
First of all, we need a method to fill all the data in the tree view.
首先，我们需要一种方法来填补所有的在树视图中的数据。
Decision Tree is a useful method of data mining.
决策树是数据挖掘中的常用方法。
This node simply represents that object in the ICE tree and gets data from it.
这个节点简单的代表物体已经处在ICE树中并且从物体上获得数据。
Decision tree is one of the important Categorising Data Mining methods.
决策树是分类数据挖掘的重要方法。
Aim To study the application of decision tree algorithm for medical image data mining.
目的研究决策树算法在医学图像数据挖掘中的应用。
Decision tree is a basic learning method in machine learning and data mining.
决策树是机器学习和数据挖掘领域中一种基本的学习方法。
In data mining, decision tree algorithm is a key research direction.
在数据挖掘中，决策树方法是一个重点研究方向。
Decision tree is a convenient and practical method for data mining.
决策树方法是数据挖掘的一种方便而实用的方法。
However a generic tree which can store data hierarchically probably makes most sense.
一般的树都可以按层次存储数据，可能更有意义。
However a generic tree which can store data hierarchically probably makes most sense.
一般的树都可以按层次存储数据，可能更有意义。
应用推荐