| 李晓丹，黄亚勤.农业云中数据挖掘技术研究[J].广东农业科学,2015,42(23):172-177 |
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农业云中数据挖掘技术研究 |
| Study on data mining technology in agricultural cloud |
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| DOI： |
| 中文关键词: 农业云 大数据 云计算 数据挖掘 农业生产服务 |
| 英文关键词: agricultural cloud massive data cloud computing data mining agricultural production service |
| 基金项目:贵州省基础研究重大项目（黔科合JZ 字
［2014］2001） |
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| 摘要点击次数: 1047 |
| 全文下载次数: 440 |
| 中文摘要: |
| 为解决农业云环境下大数据的分析处理、促进数据挖掘技术在农业全生命周期中的应用和开发集
成的问题，在云计算服务模式的基础上，提出农业云环境下的具体服务模式、内容与技术基础，设计农业云环
境下的数据挖掘技术服务模型，构建基于农业云的数据挖掘服务模型体系架构，并给出基于农业云的数据挖
掘层次结构，详细分析数据挖掘技术在农业云中的应用及其优势，从农业全生命生产周期服务的角度形成农
业云环境下的数据挖掘服务模式；对现有的数据挖掘技术在农业云中的应用情况进行综合分析，指出其在应
用过程中所面临的问题与挑战，提出具体的解决方法以及对后续工作进行展望。 |
| 英文摘要: |
| In order to solve the problems of distributed massive data analyzing in agricultural cloud and promote
development integration and agricultural application of data mining technology，the agricultural cloud service model，
content and technical basis were proposed on the base of cloud computing service model， the data mining service
model was designed，data mining service model architecture based on agricultural cloud was created. At the same
time，the data mining hierarchical structure based on agricultural cloud was given，and the data mining technology
and its advantages in agricultural cloud were analyzed. The data mining service model in agricultural cloud was formed
consequently from the perspective of agricultural production service. The existing data mining techniques were analyzed
comprehensively in agricultural cloud applications，and the problems and challenges facing in the process of application
were concluded. Based on this，the concrete solutions and prospect of follow-up work were submitted. |
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