%0 Journal Article %A Nabilah Filzah Mohd Radzuan and Zalinda Othman and Azuraliza Abu Bakar and Abdul Razak Hamdan %D 2013 %J International Journal of Computer and Information Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 84, 2013 %T Representing Data without Lost Compression Properties in Time Series: A Review %U https://publications.waset.org/pdf/9996863 %V 84 %X 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. %P 1579 - 1582