Representing Data without Lost Compression Properties in Time Series : A Review

@inproceedings{Radzuan2013RepresentingDW,
  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},
  year={2013}
}
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… CONTINUE READING