Characterization of time series for analyzing of the evolution of time series clusters
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.
time series temporal database cluster analysis multivariate database data mining