Nabilah Filzah Mohd Radzuan and Zalinda Othman and Azuraliza Abu Bakar and Abdul Razak Hamdan
Representing Data without Lost Compression Properties in Time Series A Review
1579 - 1582
2013
7
12
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/9996863
https://publications.waset.org/vol/84
World Academy of Science, Engineering and Technology
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.
Open Science Index 84, 2013