| 基于规则的离群数据挖掘在病虫害预测中的应用研究 |
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| 引用本文： | 卫一唯,王红霞,陈俊杰,王志伟. 基于规则的离群数据挖掘在病虫害预测中的应用研究[J]. 电脑开发与应用, 2009, 22(8): 17-19,22 |
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| 作者姓名： | 卫一唯 王红霞 陈俊杰 王志伟 |
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| 作者单位： | 太原理工大学计算机与软件学院,太原,030024;太原理工大学计算机与软件学院,太原,030024;山西水利职业技术学院,太原,030027;山西省气候中心,太原,030006 |
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| 基金项目： | 山西省气象局开放式研究基金 |
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| 摘 要： | 描述了离群数据挖掘的基本理论以及经典算法，提出附加约束的基于规则的离群数据挖掘算法，并根据过去几十年数据的特点，提出了一种运用离群数据挖掘进行病虫害预测的模型。实验证明，通过对实际病虫害气象数据进行挖掘，预测的结果合理，预测效率提高。
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| 关 键 词： | 数据挖掘 离群数据 离群数据挖掘 病虫害预测 |
The Applied Research of Outlier Data Mining in Pest Forecast based on Rule |
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| Wei Yiwei et al. The Applied Research of Outlier Data Mining in Pest Forecast based on Rule[J]. Computer Development & Applications, 2009, 22(8): 17-19,22 |
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| Authors: | Wei Yiwei et al |
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| Abstract: | In the article the stray data mining elementary theory as well as the classical algorithm are described,and according to the characteristics of data in the past dozens years,they made a theory that the use of outlier data mining models to predict diseases and insect pests.The experiment proved that through the excavation of the experimental data,the result of forecast is very accurate,so that the forecast efficiency of the diseases and insect pests can be improved. |
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| Keywords: | data mining outlier data outlier data mining pest forecast |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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