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Implementation of K-means clustering in ECB framework of cloud computing environment

机译:云计算环境欧洲央行框架中的k-mears聚类的实现

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In today's scenario Cloud computing technology has emerged to manage large data sets efficiently. Large amount of data is created everyday now a days hence there is a demand of running data mining algorithm on very large data sets. As there is recent fast increase in number of clouds and their services Cloud computing technology has gained more importance. To perform data mining it is required to merge distributed data and perform mining algorithm in it. This paper presents a way to implement K-Means clustering algorithm for service discovery in the Enterprise Cloud Bus architecture.
机译:在当今的情景云计算技术中,已经出现了有效地管理大数据集。现在每天创建大量数据现在是在非常大的数据集上运行数据挖掘算法的需求。由于近期云数量快速增加,因此云计算技术的云计算技术更为重要。要执行数据挖掘,需要合并分布式数据并在其中执行挖掘算法。本文介绍了在企业云总线架构中实现了K-Means聚类算法的k-means聚类算法。

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