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。
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。
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。
A new method of outlier detection in time series is proposed in this paper, which is based on phase space reconstruction theory and one-class classification method.
论文结合相空间重构理论与一类分类方法提出一种时间序列中的异常值检测方法。
Selecting the proper classification features, the primary crop types in North China could be identified through the analysis of the vegetation index time series in growth season.
通过对作物生长期内植被指数变化曲线分析，选择合适的分类特征，进行华北地区主要作物类型识别。
The proposed method calculates the probability distribution of time series based on the classification of order patterns to directly estimate the amount of information in time series.
该方法通过对时间序列排序模式进行分类，来实现复杂的概率分布估计，从而直接估计出时间序列的信息量。
While applying the method to the time series data of sedimentary rock in Talimu basin, the prediction and classification of layer in petroleum well have got solution.
在塔里木盆地沉积岩时间序列化学数据的应用实例中，解决了石油井下地层预测和归类问题。
The tasks of data mining include association rules analysis, time series module, cluster analysis, classification and predication and so on.
数据挖掘的任务有关联分析、时序模式、聚类、分类与预测等。
The main task of data mining includes correlation analysis, cluster analysis, classification, prediction, time-series pattern, deviation analysis and so on.
数据挖掘的任务主要有关联分析、聚类分析、分类、预测、时序模式和偏差分析等。
The main task of data mining includes correlation analysis, cluster analysis, classification, prediction, time-series pattern, deviation analysis and so on.
数据挖掘的任务主要有关联分析、聚类分析、分类、预测、时序模式和偏差分析等。
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