@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},