Representing Data without Lost Compression Properties in Time Series: A Review

Uncertain data is believed to be an important issue in building up a prediction model. The main objective in the time series uncertainty analysis is to formulate uncertain data in order to gain knowledge and fit low dimensional model prior to a prediction task. This paper discusses the performance of a number of techniques in dealing with uncertain data specifically those which solve uncertain data condition by minimizing the loss of compression properties. Keywords—Compression properties, uncertainty, uncertain time series, mining technique, weather prediction.