A review on wavelet pre-processing for time series data

Ali, Ashikin and Ghazali, Rozaida and Mohmad Hassim, Yana Mazwin A review on wavelet pre-processing for time series data. In: 2nd World Conference on Information Technology (WCIT-2011), 23-26 November 2011, Antalya, Turkey.

Full text not available from this repository.

Abstract

Wavelet pre-processing is mainly used to avoid the problem of outliers and periodicities in the data or signal which might decrease the overall prediction performance. It has been used in a number of applications such as image processing, pattern recognition, spectral analysis and controller to overcome the same issue. However, most of these studies focused on other applications despite it have been also variously applied in time series. Thus, this paper reviews the several uses of wavelet pre-processing that have been applied in time series in order to overcome the outlier and periodicities.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:wavelet pre-processing; time series; outliners
Subjects:Q Science > QA Mathematics
Divisions:Faculty of Computer Science and Information Technology > Department of Software Engineering
ID Code:2949
Deposited By:Normajihan Abd. Rahman
Deposited On:31 Jan 2013 15:39
Last Modified:21 Jan 2015 16:09

Repository Staff Only: item control page