tsdm

A new register model , temporal-spatial distribution model ( TSDM ), is proposed .

提出了一种新的注册者模型&时间-空间分布模型（TSDM）。

The temporal-spatial data model ( TSDM ) consists of three basic elements that are spatial locations , attributes and time .

时空数据模型的三个基本要素是空间位置、属性和时间。

The main fundamentals of TSDM research include identifying the geographic information cell of studied scale , exactly expressing relationships between space and time and the model architecture .

确定研究尺度范围内地理信息基元，合理表达时空关系和模型的层次体系是时空数据模型研究的基本原则。

Moreover , fuzzy sets theory is adopted in the dissertation to deal with the uncertainty of the mining process and a new fuzzy frame of TSDM is given then .

另外，本文用模糊集理论对时间序列数据挖掘过程中的不确定性进行了处理，提出了一种模糊时序数据挖掘的框架。

Time series are complex types of data . They often have high dimensionality , noise and various distortions etc. Time Series Data Mining ( TSDM ) is one of the most important research fields of Data mining .

由于时间序列的数据类型复杂且具有高维性、噪声干扰及波动性等特点，因此时间序列挖掘是数据挖掘中的一个重要研究方向。