| R语言在数据挖掘中的运用 |
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| 引用本文： | 侯亚君.R语言在数据挖掘中的运用[J].晋城职业技术学院学报,2014(2):63-65. |
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| 作者姓名： | 侯亚君 |
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| 作者单位： | 山西管理职业学院,山西临汾041051 |
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| 摘 要： | 开源的R语言集成了多种数据分析与可视化算法,具备良好的可扩展性,适用于数据挖掘。本文通过描述R语言中Kmeans、Weka、IGRAPH、Holt-Winters 4种主要技术与算法,以及网站挖掘的应用实例介绍,突出R语言在海量数据的采集处理、分类、统计分析、预测、可视化等方面的优势。
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| 关 键 词： | R语言 数据挖掘 算法 |
On the Application of R Language in Data Mining |
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| HOU Ya-jun.On the Application of R Language in Data Mining[J].Journal of Jincheng Institute of Technology,2014(2):63-65. |
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| Authors: | HOU Ya-jun |
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| Institution: | HOU Ya-jun ( Shanxi Management Vocational College ,Linfen 041051, China) |
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| Abstract: | The R language of open source combining a variety of data analysis and visualization algorithms have a good scalability suitable for the data mining. This paper describes four kinds of main technology and algorithm of the R language：Kmeans,Weka,IGRAPH,Hoh-Winters and the application in Web Mining to highlight the advantages of the R language in the mass data acquisition and processing, classification, statistical analysis, prediction, visualization and others. |
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| Keywords: | R language data mining algorithm |
| 本文献已被 CNKI 维普 等数据库收录！ |
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