%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