Symmetrical uncertainty method to extract essential features for Endoscopic Gastritis data set
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Universiti Malaysia Perlis (UniMAP)
2016
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my.unimap-418912016-06-07T07:17:29Z Symmetrical uncertainty method to extract essential features for Endoscopic Gastritis data set Nur Amalina, Ilyas Dr. Yasmin Mohd Yacob Gastritis Symmetrical uncertainty Algorithms Endoscopic Gastritis Data analysis Access is limited to UniMAP community. Classifying high dimensional numerical data is an exceptionally difficult issue. High dimensional data for example data sets with hundreds or thousands of features, can contain high degree of irrelevant and redundant information which greatly degrades the performance of learning algorithms. Therefore, feature selection becomes necessary for machine learning tasks for facing high dimensional data. To address this issue, an efficient feature selection method using symmetrical uncertainty is used to facilitate classifying high-dimensional numerical data. The focus here is on feature selection method that are able to assess the goodness or ranking of the individual features. The threshold method used here helps to accurately determine which features is relevant and which features is redundant. The relevant features is called as the essential features while the irrelevant features will be ignore from feature classification. 2016-06-07T07:17:29Z 2016-06-07T07:17:29Z 2015-06 Learning Object http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41891 en Universiti Malaysia Perlis (UniMAP) School of Computer and Communication Engineering |
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Gastritis Symmetrical uncertainty Algorithms Endoscopic Gastritis Data analysis |
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Gastritis Symmetrical uncertainty Algorithms Endoscopic Gastritis Data analysis Nur Amalina, Ilyas Symmetrical uncertainty method to extract essential features for Endoscopic Gastritis data set |
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Dr. Yasmin Mohd Yacob |
author_facet |
Dr. Yasmin Mohd Yacob Nur Amalina, Ilyas |
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Learning Object |
author |
Nur Amalina, Ilyas |
author_sort |
Nur Amalina, Ilyas |
title |
Symmetrical uncertainty method to extract essential features for Endoscopic Gastritis data set |
title_short |
Symmetrical uncertainty method to extract essential features for Endoscopic Gastritis data set |
title_full |
Symmetrical uncertainty method to extract essential features for Endoscopic Gastritis data set |
title_fullStr |
Symmetrical uncertainty method to extract essential features for Endoscopic Gastritis data set |
title_full_unstemmed |
Symmetrical uncertainty method to extract essential features for Endoscopic Gastritis data set |
title_sort |
symmetrical uncertainty method to extract essential features for endoscopic gastritis data set |
publisher |
Universiti Malaysia Perlis (UniMAP) |
publishDate |
2016 |
url |
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41891 |
_version_ |
1643799843376726016 |
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13.214268 |