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Improving Distributed Data Mining Techniques by Means of a Grid Infrastructure

机译:通过网格基础设施改进分布式数据挖掘技术

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摘要

Nowadays, the process of data mining is one of the most important topics in scientific and business problems. There is a huge amount of data that can help to solve many of these problems. However, data is geographically distributed in various locations and belongs to several organizations. Furthermore, it is stored in different kind of systems and it is represented in many formats. In this paper, different techniques have been studied to make easier the data mining process in a distributed environment. Our approach proposes the use of grid to improve the data mining process due to the features of this kind of systems. In addition, we show a flexible architecture that allows data mining applications to be dynamically configured according to their needs. This architecture is made up of generic, data grid and specific data mining grid services.
机译:如今,数据挖掘过程已成为科学和商业问题中最重要的主题之一。有大量数据可以帮助解决许多此类问题。但是,数据在地理上分布在各个位置,并且属于多个组织。此外,它存储在不同类型的系统中,并以多种格式表示。在本文中,已经研究了各种技术来简化分布式环境中的数据挖掘过程。由于这种系统的功能,我们的方法建议使用网格来改善数据挖掘过程。此外,我们展示了一种灵活的体系结构,该体系结构允许根据数据挖掘应用程序的需求对其进行动态配置。该体系结构由通用的数据网格和特定的数据挖掘网格服务组成。

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