Final, realized distributed data mining platform prototype.
最后，实现了分布式数据挖掘平台原型。
So we choose RMI to realize distributed data mining algorithm.
因此本文采用了RMI技术来实现分布式数据挖掘。
Tune in to this series to learn about distributed data mining next month.
请在下个月继续关注本系列以了解分布式数据挖掘。
The article discussed in the knowledge grid architecture based on a grid-based distributed data mining process.
文中在讨论知识网格体系结构的基础上实现了基于网格的分布式数据挖掘过程。
For these two problems can't be solved by traditional data mining, distributed data mining techniques come into being.
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。
The grid plays an important role in providing a computational support for distributed data mining and knowledge discovery.
网格为分布式数据挖掘和知识发现提供了有效的计算支持。
We also analyze the particular characters that a well-formed distributed data mining system should have in its architecture.
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.
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。
The grid technologies provide effective computational support for the applications. This paper introduces infrastructure of the grid and distributed data mining.
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。
This paper applies distributed data mining algorithm to IDS, takes some research on distributed pattern extraction which is based on distributed association rules algorithm.
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。
With Hadoop, distributed data mining and analysis is available to all kinds of software innovators and entrepreneurs, including but not limited to big guns like Google and Yahoo!.
有了Hadoop，分布式数据挖掘和分析对所有软件创新者和企业家都是可用的，包括但不限于Google和Yahoo ！这类大企业。
Throughout the series, you discover how to manage and organize data and content, learn about distributed data mining, and find tips for analyzing and presenting information to users.
在本系列中，您将了解如何管理和组织数据与内容，了解分布式数据挖掘并学习分析信息并向用户呈现的一些技巧。
Presently, the two important matters in this field are that, design for suitable architecture of distributed data mining systems and corresponding distributed mining algorithms.
目前，该研究领域的两个重要问题式设计合适的分布式数据挖掘系统的体系结构和相应的分布式挖掘算法。
The first issue with data mining of distributed data sources is discovery.
分布式数据源数据挖掘的第一个问题是发现。
This paper discusses the problem of data mining in loosely coupled distributed information systems.
讨论了松散耦合的分布式信息系统中的数据挖掘问题。
In order to raise the level of protection of data privacy and accuracy of the outcome of the excavation, an effective protection of the privacy of distributed algorithms Mining Association Rules Act.
为了提高对隐私数据的保护程度和挖掘结果的准确性，提出一种有效的隐私保护分布式关联规则挖掘算法。
Discussing the research method that resolve the adaptation of security system using distributed object technique and data mining.
探讨了利用分布式对象技术和数据挖掘技术来解决网络安全系统自适应性的研究思路。
To solve the distributed attacks efficiently, this paper presents the Distributed Intrusion Detection Model Based on Multisensor Data Fusion and Mining (DIDM).
为有效解决分布式攻击，提出了基于多传感器数据融合与挖掘的分布式入侵检测模型。
So, distributed and parallel data mining pattern is one of hot problems of research currently.
因此，分布式并行数据挖掘处理模式是目前研究的热点问题之一。
Aiming at the problem of data mining in distributed system, a novel and effective meta-mining method is presented.
针对分布式系统中的数据挖掘问题，提出了一种新颖高效的分布式元挖掘方法。
In terms of the new characteristics of current data, which is widely distributed, dynamic, rough and so on, a number of intelligent data mining technology come into being.
而针对目前数据的新特点，分布广，动态性，粗糙性等，一些智能化的数据挖掘技术便应运而生。
In addition, the business data stream is continuous, conflict, timing, massive and distributed, so traditional data mining techniques can not be applied directly to the business data stream.
而商业数据流除了具备数据流的基本特点外，还具备连续性、冲突性、时间性、海量性和分布性等特性。因此传统的数据挖掘技术不能直接应用到商业数据流上。
Moreover, for the sake of picking out useful information from these data resource, the researchers raise data-mining technology and distributed data-mining technology.
同时，为了从丰富的数据资源中找到自己需要的有益信息，人们又提出了数据挖掘和分布式数据挖掘的方法。
Moreover, for the sake of picking out useful information from these data resource, the researchers raise data-mining technology and distributed data-mining technology.
同时，为了从丰富的数据资源中找到自己需要的有益信息，人们又提出了数据挖掘和分布式数据挖掘的方法。
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