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Comprehensive study on ensemble classification for medical applications

The aims of this paper were to provide a comprehensive review of classification techniques and their alternative approaches in data mining. Classification is a data mining technique that assigns categories to a collection of data to aide in more accurate predictions and analyses. It is one of the se...

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Main Authors: Rosly, Rosaida, Makhtar, Mokhairi, Awang, Mohd Khalid, Awang, Mohd Isa, Abdul Rahman, Mohd Nordin, Mahdin, Hairulnizam
Format: Article
Published: Science Publishing Corporation (SPC) 2018
Subjects:
T Technology (General)
QA71-90 Instruments and machines
Online Access:http://eprints.uthm.edu.my/5345/
http://dx.doi.org/10.14419/ijet.v7i2.14.12822
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spelling my.uthm.eprints.53452022-01-09T04:07:36Z http://eprints.uthm.edu.my/5345/ Comprehensive study on ensemble classification for medical applications Rosly, Rosaida Makhtar, Mokhairi Awang, Mohd Khalid Awang, Mohd Isa Abdul Rahman, Mohd Nordin Mahdin, Hairulnizam T Technology (General) QA71-90 Instruments and machines The aims of this paper were to provide a comprehensive review of classification techniques and their alternative approaches in data mining. Classification is a data mining technique that assigns categories to a collection of data to aide in more accurate predictions and analyses. It is one of the several methods intended to make the analysis of very large datasets effective. The goal of classification is to accurately predict the target class for each case in the data. One of the classification approaches is the ensemble method. In recent years, the usage of ensemble method in medical application has been increasing. Not only in medical areas, it can also help researchers to solve modem problems in many fields like machine learning, data mining and other related areas. Science Publishing Corporation (SPC) 2018 Article PeerReviewed Rosly, Rosaida and Makhtar, Mokhairi and Awang, Mohd Khalid and Awang, Mohd Isa and Abdul Rahman, Mohd Nordin and Mahdin, Hairulnizam (2018) Comprehensive study on ensemble classification for medical applications. International Journal of Engineering & Technology, 7 (2.14). pp. 186-190. ISSN 2227-524x http://dx.doi.org/10.14419/ijet.v7i2.14.12822
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
topic T Technology (General)
QA71-90 Instruments and machines
spellingShingle T Technology (General)
QA71-90 Instruments and machines
Rosly, Rosaida
Makhtar, Mokhairi
Awang, Mohd Khalid
Awang, Mohd Isa
Abdul Rahman, Mohd Nordin
Mahdin, Hairulnizam
Comprehensive study on ensemble classification for medical applications
description The aims of this paper were to provide a comprehensive review of classification techniques and their alternative approaches in data mining. Classification is a data mining technique that assigns categories to a collection of data to aide in more accurate predictions and analyses. It is one of the several methods intended to make the analysis of very large datasets effective. The goal of classification is to accurately predict the target class for each case in the data. One of the classification approaches is the ensemble method. In recent years, the usage of ensemble method in medical application has been increasing. Not only in medical areas, it can also help researchers to solve modem problems in many fields like machine learning, data mining and other related areas.
format Article
author Rosly, Rosaida
Makhtar, Mokhairi
Awang, Mohd Khalid
Awang, Mohd Isa
Abdul Rahman, Mohd Nordin
Mahdin, Hairulnizam
author_facet Rosly, Rosaida
Makhtar, Mokhairi
Awang, Mohd Khalid
Awang, Mohd Isa
Abdul Rahman, Mohd Nordin
Mahdin, Hairulnizam
author_sort Rosly, Rosaida
title Comprehensive study on ensemble classification for medical applications
title_short Comprehensive study on ensemble classification for medical applications
title_full Comprehensive study on ensemble classification for medical applications
title_fullStr Comprehensive study on ensemble classification for medical applications
title_full_unstemmed Comprehensive study on ensemble classification for medical applications
title_sort comprehensive study on ensemble classification for medical applications
publisher Science Publishing Corporation (SPC)
publishDate 2018
url http://eprints.uthm.edu.my/5345/
http://dx.doi.org/10.14419/ijet.v7i2.14.12822
_version_ 1738581367604641792
score 13.23648

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