| 基于云计算的农作物种质资源数据挖掘平台研究 |
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| 引用本文： | 潘恺,方沩,陈丽娜,曹永生.基于云计算的农作物种质资源数据挖掘平台研究[J].植物遗传资源学报,2015,16(3):649-652. |
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| 作者姓名： | 潘恺 方沩 陈丽娜 曹永生 |
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| 作者单位： | 中国农业科学院作物科学研究所,北京,100081 |
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| 基金项目： | 国家农作物种质资源平台 |
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| 摘 要： | 针对作物种质数据量大、多维带来的挖掘效率偏低的问题,通过探讨云计算技术及其解决方案,提出了一种基于Hadoop的农作物种质资源数据挖掘平台,详述了平台的各功能模块并给出了具体的开发方案。通过改进经典的Apriori算法并在平台上对其进行效率测试,验证了平台的有效性、可行性。
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| 关 键 词： | 种质资源 云计算 Hadoop Apriori算法 |
| 收稿时间： | 2014/10/23 0:00:00 |
| 修稿时间： | 2015/1/15 0:00:00 |
Research of Crop Germplasm Resources Data Mining Platform Based On Cloud Computing |
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| PAN Kai
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FANG Wei
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CHEN Li-na
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CAO Yong-sheng.Research of Crop Germplasm Resources Data Mining Platform Based On Cloud Computing[J].Journal of Plant Genetic Resources,2015,16(3):649-652. |
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| Authors: | PAN Kai FANG Wei CHEN Li-na CAO Yong-sheng |
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| Institution: | Institute of Crop Science, Chinese Academy of Agricultural Sciences,,, |
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| Abstract: | The massive volume and multiple dimensions of germplasm data have caused the low efficiency of data mining. This problem is envisaged in this paper by presenting a Hadoop-based data mining platform for crops germplasm after detailed analysis of both the components and working mechanism of Hadoop cloud platform. Different functional modules will also be discussed in detail, based on which, specific development programs of the platform are also to be proposed. The efficiency and feasibility of the platform will be verified through efficiency tests of improved classic Apriori algorithm. |
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| Keywords: | Germplasm resources Cloud computing Hadoop Apriori algorithm |
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