@article{(Open Science Index):https://publications.waset.org/pdf/9996863, title = {Representing Data without Lost Compression Properties in Time Series: A Review}, author = {Nabilah Filzah Mohd Radzuan and Zalinda Othman and Azuraliza Abu Bakar and Abdul Razak Hamdan}, country = {}, institution = {}, abstract = {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. }, journal = {International Journal of Computer and Information Engineering}, volume = {7}, number = {12}, year = {2013}, pages = {1579 - 1582}, ee = {https://publications.waset.org/pdf/9996863}, url = {https://publications.waset.org/vol/84}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 84, 2013}, }