提出了一种分布式数据存储模型。
This dissertation presents a distributed data storage model.
此模式实现了处理分布式数据的同步实时集成方法。
This pattern realizes a synchronous, real-time integration approach to distributed data.
讨论了分布式数据采集系统的实现方案。
Discussed resolution of Distributed Data Acquisition System.
最后，实现了分布式数据挖掘平台原型。
管理大型分布式数据集的能力是网格工作的关键方面。
The ability to manage large distributed data sets is a critical aspect of a significant grid effort.
因此本文采用了RMI技术来实现分布式数据挖掘。
So we choose RMI to realize distributed data mining algorithm.
客户机只知道代理，代理服务器上配置了后端分布式数据的详细信息。
Clients know only about the proxy and the proxy server is configured with the details of distributed data at the back end.
联合的分布式数据访问方法无需ods即可提供所需级别的数据同步。
A federated approach to distributed data access can provide the required levels of data synchronization without an ODS.
随后分析了分布式数据开采系统的体系结构应该具有的特点。
We also analyze the particular characters that a well-formed distributed data mining system should have in its architecture.
这样就降低了编码的复杂性，为程序员提供了更加集成化的分布式数据视图。
This reduces coding complexity and provides programmers with a more integrated view of distributed data.
讨论了一种高速公路分布式数据采集及控制系统的组成与实现方法。
This paper discusses a method to organize and realize system of the distributive data acquisition and control.
使用这些工具，可以方便地建立分布式数据网格的基本基础设施并执行网格计算。
With these tools, it can be easy to set up the basic infrastructure of a distributed data grid and perform grid computations.
并在两个实验比较的基础上说明了分布式数据收集在广域网上的优势。
And it illustrates the advantage of the distributed data collection in WAN based on the comparison of two experiments.
rda使用户可以发现各种分布式数据资产，并对它们进行建模、可视化和关联处理。
IDA enables users to discover, model, visualize, and relate diverse and distributed data assets.
查询优化：分布式数据集成系统查询优化的目标与集中式数据库有所不同。
Query optimization: the goals of query optimization in distributed data integration system are different from those in traditional database system.
信息层采用分布式数据融合技术，融合处理网络中各单元节点获得的目标信息。
The distributed data fusion technology was adopted for information layer to deal with the target information gained by each unit node in network.
提供了这些数据存储的大规模散布性质，挑战在于组织如何发现、访问和有效地使用分布式数据。
Given the massively diffuse nature of these data stores, the challenge is for organizations to discover, access, and effectively use distributed information.
本文针对慢速网络的特点，提出了一套解决慢速网络下分布式数据双向复制问题的方案。
This thesis proposes a new data replication mechanism, which can solve the bi-directional distributed data replication over a slow network connection.
现代石油勘探仪器的基本结构是以计算机网络技术为中心的分布式数据采集与控制系统。
The basic structure of modern petroleum exploration instruments is distributed data acquisition and control system (DDACS) based on computer network technology.
无需移动到中心位置即可访问分布式数据的Information Integrator实例。
An Information Integrator instance that provides the capability to access distributed data without moving it to a central location.
WebSphereSensorEvents管理配置定义和分布式数据捕获环境的软件负载。
WebSphere Sensor Events manages the configuration definition and software loading of the distributed data-capture environments.
DP现场总线分布式测控系统实现了远程分布式数据采集、控制、通信、信息显示等功能。
The PROFIBUS-DP distributed meter and control system has the function of data collection, control, communication and message display and so on.
对于这两个问题，传统的数据挖掘技术根本无法解决，因此分布式数据挖掘技术随之而出。
For these two problems can't be solved by traditional data mining, distributed data mining techniques come into being.
介绍了一种分布式数据系统的服务器软件的原理和组成，给出了软件的具体设计和实现方法。
The structure and principles of server software of a distributed data system are introduced, and also a detailed design is given.
分布式数据查询是分布式数据库管理系统的核心，而查询优化算法又是查询处理中的关键技术。
The distributed data query is the core of the distributed database managing system, but the optimized query algorithm is the key technology in query processing.
对频繁更改的分布式数据的实时访问：使用数据整合处理这种场景，需要对源数据进行频繁的移动和整合。
Real-time access to distributed data that is frequently changing: Addressing this scenario with data consolidation requires frequent movement and consolidation of the source data.
分布式数据查询是分布式数据库管理系统的核心，而查询优化算法又是查询处理中的关键技术。
The distribute data query is the core of the distribute database manages system, but the optimized query algorithm is the key technology in query the processed.
对于以上的这些应用，网格技术提供了有效的支持，介绍了网格的基础设施以及分布式数据挖掘。
The grid technologies provide effective computational support for the applications. This paper introduces infrastructure of the grid and distributed data mining.
数据服务中间件的主要功能包括数据的位置透明性、分布式数据查询、事务处理、异构数据源兼容。
Main functions of data access middleware are location transparency, distributed data query, transaction process and heterogeneous data sources compatibility.
论文把分布式数据挖掘算法运用于入侵检测系统，研究了基于分布式关联规则算法的分布式模式提取。
This paper applies distributed data mining algorithm to IDS, takes some research on distributed pattern extraction which is based on distributed association rules algorithm.
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