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.
本文提出了一种聚类的多解析度字符串索引结构，用于解决生物序列的相似性查询问题。
This paper proposed a Clustered Multi Resolution String index structure to solve the problem of sequence similarity query.
目前空间数据相似性查询有着广泛的应用需求，解决相似性查询问题的一项关键技术就是高维空间数据索引。
Nowadays the applications of spatial data similarity search are widely needed, and high dimensional spatial data index becomes a key technology of similarity search.
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