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时序数据挖掘技术及其在粮食产量预测中的应用研究

Time Series Data Mining Technology and Its Application Research in Grain Yields Prediction
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摘要 随着信息技术的飞速发展,数据挖掘受到越来越多的关注。时间序列数据挖掘是数据挖掘的重要内容。介绍了时间序列数据挖掘的研究现状及时间序列模型的相关内容,并采用时序数据挖掘工具预测粮食的产量。结果表明,运用时序数据挖掘的方法具有较高的预测精度。 Mining has attracted a great deal of attention with the high development rate of information technology. Time series data mining is an important part of data mining. This paper describes the time-series data mining research status and time series models relevant content, and using time series data mining tools to predict the yields of grain. The results show that: the use of time series data mining method has higher prediction accuracy.
出处 《农业网络信息》 2009年第12期128-130,共3页 Agriculture Network Information
基金 国家863项目(2006AA10A309 2006AA10Z271) 吉林省重点项目(20060213)
关键词 数据挖掘 时序模型 ARIMA模型 data mining timing model ARIMA model
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