作为基因功能预测的主要手段，序列相似性查询技术是生物信息学领域的研究热点。
As a main method for predicting the functionality of genes, the sequence similarity querying technique is becoming one of the research hotspots in bioinformatics.
水文时间序列相似性查询可用于雨洪过程预测、环境演变分析、水文过程规律分析等方面。
Hydrological time series similarity search can be used for rainfall and flood forecasting, the analysis of environment evolvement and hydrological process, etc.
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.
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