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。
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。
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。
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。
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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