structured data

Design of structured data storage index algorithm based on P2P

基于P2P的结构化数据存储索引算法设计

To be used when the field points to more remote structured data .

将在字段指向更多的远程结构化数据时使用的。

One use for classes is as containers for structured data .

类的一种使用是作为结构化数据的容器。

Clinical Data entry requires combination of structured data and flexibility .

病历的录入要求结构化和灵活性的有机结合和统一。

In this paper , I do the research on structured data mining and processing .

而针对结构数据的挖掘与处理就是本文所致力研究的问题。

Not all classes represent structured data in the application domain .

并不是所有的类都表示应用程序域中的结构化数据。

Business processes often rely on access to structured data .

业务流程通常要依靠获得结构化数据。

A Method to Convert Excel Data To Structured Data

一种Excel数据到结构化数据的转换方法

Data Fusion of the Non-structured Data and Structured Data in Digital Mining

数字矿山建设中非结构化与结构化数据的融合

Schema Discovery of Semi - structured Data Based on OEM Model

基于OEM模型的半结构化数据的模式发现

Most of the structured data is maintained today in relational systems .

目前，大多数结构化数据都使用关系系统进行维护。

Linear structured data converting applied in netted super media system

线性结构组织网状超媒体数据变换系统及其应用

The Analysis of Semi Structured Data with Indeterminate Context Free Grammar

用待确定的上下文无关文法分析半结构化数据

Structured data types exhibit a behavior known as inheritance .

结构化数据类型展示了一个称为继承的行为。

This article has focused on federation for structured data .

本文的重点是结构化数据的联合。

Semantic mapping from structured data to XML data

结构化数据到XML数据的语义映射

Lotus Notes is based on document and structured data are used in relation database .

Lotusnotes的基本元素是文档，关系数据库使用是的结构型数据。

Hierarchically structured data Linear regression model Variance inflation factor ;

层次结构数据；线性回归模型；方差膨胀因子；

However , these models are predominately based on the use of structured data .

但是，这些模型主要使用结构化数据。

In the financial field , particularly , structured data have always been the main target to process .

特别在金融领域，一直以来计算机处理的主要对象的都是结构化的数据。

Thus , the research of the natural language interface to structured data is of great practical significance .

因此，结构化数据的自然语言接口的研究具有非常重要的现实意义。

Conclusion Multilevel model is a powerful analytical tool for these hierarchical structured data .

结论多水平模型可以灵活有效地处理各种具有层次结构的数据；

Semi-supervised Clustering of Complex Structured Data Based on Higher-order Logic

基于高阶逻辑的复杂结构数据半监督聚类

An Approach of Storing Semi - structured Data with XML

一种基于XML的半结构化数据存储方法

In this article , we have focused on the data consolidation pattern for structured data .

在本文中，我们重点关注于结构化数据的数据整合模式。

It provides the facilities such as array slicing for structured data .

对构造型数据提供有数组片输出之类设施；

Microdata is a simple way to add structured data to pages .

微数据是向页面添加结构化数据的一种简便方式。

Regular databases can store both highly structured data and unstructured documents .

常规数据库可以存储高度结构化的数据和非结构化数据。

There is good reason for that : It 's easy to parse structured data .

这样的原因是：结构化的数据更容易解析。

Databases contain structured data as well .

数据库也包含结构化数据。