| 基于并行计算的大数据挖掘技术研究 |
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| 引用本文： | 朱月恒.基于并行计算的大数据挖掘技术研究[J].网络安全技术与应用,2014(5):53-53. |
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| 作者姓名： | 朱月恒 |
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| 作者单位： | 武汉大学信息管理学院,湖北430070 |
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| 摘 要： | 大数据时代的到来催生了并行数据挖掘技术.本文介绍了大数据的基本概念,研究了Hadoop平台分布式程序设计模型MapReduce,并设计了并行数据挖掘中的并行分类算法和并行聚类算法.
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| 关 键 词： | 数据挖掘 并行计算 MapReduce 分类算法 聚类算法 |
Research on Big Data Mining Technology Based on Parallel Computing |
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| Zhu Yueheng.Research on Big Data Mining Technology Based on Parallel Computing[J].Net Security Technologies and Application,2014(5):53-53. |
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| Authors: | Zhu Yueheng |
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| Affiliation: | Zhu Yueheng |
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| Abstract: | The advent of the era of big data has given rise to the parallel data mining technology.This paper introduces the basic concept of big data.Hadoop platform distributed programming model was studied in this paper.Besides, this paper designed a parallel sorting algorithm in the parallel data mining and parallel clustering algorithm. |
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| Keywords: | Data Mining Parallel Computing MapReduce sorting algorithms clustering algorithm |
| 本文献已被 CNKI 维普 等数据库收录！ |
