[1]贺瑶,王文庆,薛飞.基于云计算的海量数据挖掘研究[J].计算机技术与发展,2013,(02):69-72.
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基于云计算的海量数据挖掘研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年02期
页码:
69-72
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Study of Massive Data Mining Based on Cloud Computing
文章编号:
1673-629X（2013）02-0069-04
作者:
贺瑶1; 王文庆2; 薛飞1
[1]西安邮电大学 管理工程学院;[2]西安邮电大学 自动化学院
关键词:
云计算; 数据挖掘; 海量数据; MapReduce; 数据预处理
Keywords:
cloud computing; data mining; massive data; MapReduce; data preprocessing
文献标志码:
A
摘要:
为了实现高效率低成本的海量数据挖掘,为企业决策提供参考,提出了基于云计算的海量数据挖掘模型.该模型中海量数据的处理和存储都是在云计算环境中进行的,首先对海量的数据进行一定的预处理,形成结构一致的数据后,应用云计算平台上的MapReduce模型进行高效的并行数据处理,最后得到所需的数据挖掘结果.基于云计算的海量数据挖掘的效率明显高于传统的数据挖掘,并且数据挖掘结果的准确性有了一定的提高,而且随着数据量的增多,该模型的优势会愈发明显
Abstract:
In order to achieve high efficiency and low cost of massive data mining,and provide decision references for enterprise,the mod-el of massive data mining based on cloud computing has been proposed. The massive data's processing and storage of the model were car-ried on the cloud computing environment. Firstly,take some certain preprocessing for the massive data to form data with the same struc-ture. Then,use the MapReduce model on the cloud computing platform to parallelly process the data efficiently. Finally,get the needed re-sult of data mining. The efficiency of massive data mining based on cloud computing is clearly higher than traditional data mining. Mean-while,the accuracy of data mining will be improved. Along with the increase of data,the advantage of the model will increasingly obvi-ous

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更新日期/Last Update: 1900-01-01