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1. K-means Clustering Distributed Data Mining Based on Hadoop | |||
XIAO Shan,YU Yanhua,YANG Zhifang,E Xinhua | |||
Computer Science and Technology 04 December 2011 | |||
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Abstract: In the face of massive data on the Internet, a single host has been unable to meet their storage and computing requirements, distributed storage and distributed computing applications is an inevitable trend. Hadoop is the application of which more distributed storage and computing frameworks. Various features of the Hadoop is ideal for data mining, this paper presents a Hadoop-based framework for distributed data mining model, and give the corresponding Map / Reduce process of design ideas and examples for distributed data mining. | |||
TO cite this article:XIAO Shan,YU Yanhua,YANG Zhifang, et al. K-means Clustering Distributed Data Mining Based on Hadoop[OL].[ 4 December 2011] http://en.paper.edu.cn/en_releasepaper/content/4453607 |
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