Characterization of time series for analyzing of the evolution of time series clusters

作者：

Highlights：

• We propose a characterization of time series for multivariable temporal databases.

• For the characterization of time-series we used the level and trend components.

• The characterization the time-series is adequate for long and short periods of time.

• Our proposal allows analysis the evolution of the groups and objects.

• We developed an R-based script for generating multivariable temporal data base.

摘要

•We propose a characterization of time series for multivariable temporal databases.•For the characterization of time-series we used the level and trend components.•The characterization the time-series is adequate for long and short periods of time.•Our proposal allows analysis the evolution of the groups and objects.•We developed an R-based script for generating multivariable temporal data base.

论文关键词：Time series,Temporal database,Cluster analysis,Multivariate database,Data mining

论文评审过程：Available online 21 August 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.08.012