Forecasting Feature Selection based on Single Exponential Smoothing using Wrapper Method
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 6
Abstract
Feature selection is one way to simplify classification process. The purpose is only the selected features are used for classification process and without decreasing its performance when compared without feature selection. This research uses new feature matrix as the base for selection. This feature matrix contains forecasting result using Single Exponential Smoothing (FMF(SES)). The method uses wrapper method of GASVM and it is named FMF(SES)-GASVM. The result of this research is compared with other methods such as GA Bayes, Forward Bayes and Backward Bayes. The result shows that FMF(SES)-GASVM has maximum accuracy when compared of FMF(SES)-GA Bayes, FMF(SES)-Forward Bayes, FMF(SES)-Backward Bayes, however the number of selected features are more than if compared with FMF(SES)-GA Bayes and FMF(SES)-Forward Bayes.
Authors and Affiliations
Ani Dijah Rahajoe
Keywords
Related Articles
- EP ID EP594268
- DOI 10.14569/IJACSA.2019.0100620
- Views 81
- Downloads 0
Identifying Cancer Biomarkers Via Node Classification within a Mapreduce Framework
Big data are giving new research challenges in the life sciences domain because of their variety, volume, veracity, velocity, and value. Predicting gene biomarkers is one of the vital research issues in bioinformatics fi...
Probabilistic Distributed Algorithm for Uniform Election in Triangular Grid Graphs
Probabilistic algorithms are designed to handle problems that do not admit deterministic effective solutions. In the case of the election problem, many algorithms are available and applicable under appropriate assumption...
Audio Search Based on Keyword Spotting in Arabic Language
Keyword spotting is an important application of speech recognition. This research introduces a keyword spotting approach to perform audio searching of uttered words in Arabic speech. The matching process depends on the u...
Simulation of Spectral Subtraction Based Noise Reduction Method
Noise reduction is a very meaningful but difficult task and it has been a subject of intense research in recent years. This paper introduces two popular noise reduction techniques and presents our simulation result of a...
Managing Changes in Citizen-Centric Healthcare Service Platform using High Level Petri Net
The healthcare organizations are facing a number of daunting challenges pushing systems to deal with requirements changes and benefit from modern technologies and telecom capabilities. Systems evolution through extension...