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EDA-DB discretization method to extract essential features for endoscopic gastritis dataset

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Bibliographic Details
Main Author: Ummul Khir, Ramli
Other Authors: Yasmin Mohd Yacob
Format: Learning Object
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2016
Subjects:
Essential features
Endoscopic gastritis data
Gastritis
Discretization process
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/42093
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spelling my.unimap-420932016-06-17T07:23:21Z EDA-DB discretization method to extract essential features for endoscopic gastritis dataset Ummul Khir, Ramli Yasmin Mohd Yacob Essential features Endoscopic gastritis data Gastritis Discretization process Access is limited to UniMAP community. Since most real-world applications of classification learning involve continuous-valued attributes, extracting data pattern from raw data is an important task. The major purpose of this project is to build a discretization algorithm using boundary cut-points technique known as Entropy-based Discretization According to Distribution of Boundary Point(EDA-DB) Technique to extract essential features. Boundary cut point is a cut point involving examples of different classes. A cut point is defined as the midpoint between each successive pair of values in the sorted sequence of attribute values. The project is developed using Matlab, WEKA, Decision Stump classifier and Random Forest classifier via endoscopic gastritis data set. EDA-DB selected minimum entropy boundary cut point that is spread out within an interval. As a result of discretization process, good generalized data patterns of Endoscopic Gastritis are generated. On top of that essential features are also produced. Thus, determining discretized data pattern from the extracted Endoscopic Gastritis features may improve the overall classification process. 2016-06-17T07:23:21Z 2016-06-17T07:23:21Z 2015-06 Learning Object http://dspace.unimap.edu.my:80/xmlui/handle/123456789/42093 en Universiti Malaysia Perlis (UniMAP) School of Computer and Communication Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Essential features
Endoscopic gastritis data
Gastritis
Discretization process
spellingShingle Essential features
Endoscopic gastritis data
Gastritis
Discretization process
Ummul Khir, Ramli
EDA-DB discretization method to extract essential features for endoscopic gastritis dataset
description Access is limited to UniMAP community.
author2 Yasmin Mohd Yacob
author_facet Yasmin Mohd Yacob
Ummul Khir, Ramli
format Learning Object
author Ummul Khir, Ramli
author_sort Ummul Khir, Ramli
title EDA-DB discretization method to extract essential features for endoscopic gastritis dataset
title_short EDA-DB discretization method to extract essential features for endoscopic gastritis dataset
title_full EDA-DB discretization method to extract essential features for endoscopic gastritis dataset
title_fullStr EDA-DB discretization method to extract essential features for endoscopic gastritis dataset
title_full_unstemmed EDA-DB discretization method to extract essential features for endoscopic gastritis dataset
title_sort eda-db discretization method to extract essential features for endoscopic gastritis dataset
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2016
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/42093
_version_ 1643799907492954112
score 13.214268

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