Time Series Abstraction Methods - A Survey

In knowledge discovery from time series the goal is to detect interesting patterns in the series that may help a human to better recognize the regularities in the observed variables and thereby improve the understanding of the system. Computer programs are very good in number crunching, but knowledge arises only in the head of a human. Ideally, knowledge discovery algorithms therefore use time series representations that are close to those that are used by a human.