Two algorithms for structuring decision tree model of multi-dimensional time series classification were presented.

并给出了两种构造多维时间序列分类的决策树模型算法。

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This paper analyzed the aim and characteristic of model establish, expounded time series analytic definition, classification, feature and application domain.

文章分析了模型建立的目的和特征，阐述了时间序列分析的定义、分类、特征和应用领域。

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In addition, a new method of outlier detection in time series is proposed by combination of phase space theory and one-class classification method.

另外，结合一类分类方法和相空间重构理论，提出一种时间序列中的异常值检测方法。

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