采用多元时间序列分析的方法，对油水井动态特性进行了分析，建立了油井含水率的多因素预测模型。
Multivariate time series method is used to analyze the performance of oil production and injection Wells. A multi factor model for predicting the water cut in oil well is presented.
相似性度量是金融时间序列挖掘中的一项关键技术，但现有的度量方法不适合分析小规模的金融多元时间序列。
Similarity measure is a key technology of time series mining, whose existing methods are not available for the analysis of small-scale multivariate time series.
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