A Multi-dimensional Time Series Data Mining Model for Weather Forecast

摘要：

　　Based on the analysis and actual application under the background of the ground automatic weather stations research material,through selecting dimension,piecewise linear fitting method,the cluster symbol,this thesis proposes the dimensions redundant reduction algorithm,the extremum slope piecewise linear fitting method,a multi-dimensional time series data mining model for the meteorological data,and uses the model to preliminarily mine the rule of rain-weather phenomena.Finally,the experimental results show that this model designed in this paper can predict the weather phenomenon great practicality.

关键词： data mining time series weather forecast

作者: Liu Kun

作者单位: Qujing Normal University

会议类型: 国际会议

会议名称: 2012 2nd international Conference on Materials Science and Information Technology(2012第二届材料科学与信息技术国际会议)(MSIT2012)

会议地点: 西安

会议语种:英文

页码: 1277-1281

在线出版日期: 2012-08-24（万方平台首次上网日期，不代表论文的发表时间）