而时序数据挖掘( Temporal Data Mining , TDM) 是 数据挖掘的一个重要研究领域。TDM 通过把时间引入数据挖 掘技术中,不仅为事件在时间上的先后顺...
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时间序列数据挖掘 time series data mining ; TSDM
序列和时序数据的挖掘 Mining Sequence Data and Time Series Data
为时间序列数据挖掘 Time Series Data Mining
是时间序列数据挖掘 Time Series Data Mining
趋势分析与相似搜索是时序数据挖掘的主要技术与方法。
Trend analysis and similitude search are the main techniques and methods in time serial data mining.
提出了基于探索性分析的时序数据挖掘方法，采用线性回归技术建立了数学模型。
A way of time series data mining was put forward based on the exploratory analysis and the mathematics module was founded by way of using linear regression technology.
针对时序数据挖掘中常见数据表示算法的缺陷，提出了基于关键点的误差检验分段算法。
To overcome the defects of data representation algorithms in temporal data mining, segmentation algorithm of key-point-based error checking is proposed.
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