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大数据背景下数据科学分析工具现状及发展趋势 被引量：39

The Status and Development Trend of Data Science Analysis Tool under the Background of Big Data
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摘要 文章根据大数据时代的特征,分析了海量数据给数据科学分析工具带来的主要挑战,介绍了为应对挑战而发展的大数据分析工具,并对比分析了R语言、Rapid Miner、Mahout三种数据科学中比较流行的大数据分析工具,发现R语言和Rapid Miner功能全面,而Mahout具有突出的大数据分析能力,最后指出了数据科学分析工具的发展趋势。 According to the features of big data era,this paper analyzes the main challenges that massive data bring to the analysis tool of data science. The paper introduces the big data analysis tool in response to challenges. Then,the paper carries on the comparative analysis of R language,Rapid Miner and Mahout 3 popular analysis tools of big data in data science,which finds that R language and Rapid Miner have fully functions and the Mahout has more outstanding analysis capability of big data. Finally,the paper points out the development trend of data science analysis tool.
作者 杨京 王效岳 白如江 祝娜
机构地区 山东理工大学科技信息研究所
出处 《情报理论与实践》 CSSCI 北大核心 2015年第3期134-137,144,共5页 Information Studies:Theory & Application
基金 山东省自然科学基金项目"大规模学术文献并行处理与语义分类研究"(项目编号:ZR2011GL025) 山东理工大学人文社会科学发展基金资助项目的成果之一
关键词 数据科学 R语言 大数据 data science R language big data
分类号 G301 [文化科学]
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参考文献24

  • 1Big Data-Nature [ EB/OL]. [ 2014-04-10 ]. http://www, na- ture. corn/.
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二级参考文献169

  • 1Nature. Big Data [EB/OL]. [2012-10-02]. http,//www. nature, com/news/specials/bigdata/index, html.
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  • 6World Economic Forum. Big data, big impact: New possibilities for international development [R/OL]. [2012- 10-02]. http://www3, weforum, org/docs/WEF TC MFS BigDataBigImpact_Briefing 2012. pdf.
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  • 8UN Global Pulse. Big Data for Development:Challenges Opportunities [R/OL]. [ 2012-10-02 ]. http://www. unglobalpulse, org/proj ects/BigDataforDevelopment.
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  • 10Grobelnik M. Big-data computing: Creating revolutionary breakthroughs in commerce, science, and society [R/OL]. [2012-10 -02]. http://videolectures, net/cswc2012_grobelnik_ big_data/.

共引文献2398

同被引文献533

引证文献39

二级引证文献287

情报理论与实践
2015年 第3期

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