然而多元时间序列的数据结构比一元时间序列更复杂，现有的理论和方法仍不够完善。

However, there are a few on multivariate time series mining, since the data structure of multivariate time series is more complex than that of univariate time series.

youdao

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.

youdao

针对多元时间序列的相似性查询问题，给出参数重要度的定义，提出一种基于参数重要度的候选集查询方法。

Aiming at the problem of multivariate time series similarity search, this paper presents the definition of parameter importance degree and puts forward a candidate sets obtaining method based on it.

youdao