| 数据挖掘技术在农业信息网站中的应用研究 |
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| 引用本文： | 李文圃,廖桂平.数据挖掘技术在农业信息网站中的应用研究[J].中国农学通报,2012,28(6):269-275. |
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| 作者姓名： | 李文圃 廖桂平 |
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| 作者单位： | 湖南农业大学农业信息研究所,长沙,430000 |
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| 摘 要： | 为了在农业网站的海量数据中获取有用信息，运用数据挖掘技术对网站数据进行特征分析，并选择合适的数据抽取算法对网站数据进行抽取，然后根据此模式对农业网站的数据进行了定量、定性分析，从而建立了合适的数据抽取模型。能够为其他的应用提供帮助和服务，并能用于其他的知识应用体系中。
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| 关 键 词： | 水稻 水稻 分蘖 营养 激素 分子 |
| 收稿时间： | 2011/8/12 0:00:00 |
| 修稿时间： | 2011/9/24 0:00:00 |
Study on the Application of Data Mining Technology in Agricultural Information Website |
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| Li Wenpu
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Liao Guiping.Study on the Application of Data Mining Technology in Agricultural Information Website[J].Chinese Agricultural Science Bulletin,2012,28(6):269-275. |
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| Authors: | Li Wenpu Liao Guiping |
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| Institution: | (Agricultural Information Institute of Hunan Agricultural University, Changsha 430000) |
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| Abstract: | In order to obtain the useful information from the massive amounts of data at agricultural websites, the author analyzed the characteristics of the website data by using the technology of data mining, and extracted the website data by selecting the appropriate algorithms of data extraction. Then on the basis of this mode, gave a quantitative and qualitative analysis to the data at agricultural websites, thus an appropriate model for data extraction had been established. This model can provide help and service for other applications and can also be used in other knowledge application systems. |
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| Keywords: | agricultural information data mining DOM data extraction |
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