关键词: 多元时间序列, 相似性查询, 飞行数据, 特征提取, 相似性度量

Abstract: Flight data is typical multivariate time series.It extracts the features of flight data based on SVD，gets candidate sets of similarity query by singular distance filtering，and constructs similarity measure modal via coordinate transformation theory in linear space，then realizes precise matching on candidate sets and gets ultimate results.At the same time it gives the strategy of conflict resolving for similar subseries，deeply analyzes the consistency and completeness of similarity query，points out that the methods in this paper will inevitably lead to false dismissals，and proposes a solution to decrease false dismissals and enhance query efficiency by merging experiential rules.At last the experiments on real data show the validity of the research.

Key words: multivariate time series, similarity query, flight data, feature extract, similarity measure