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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| Format: | Article |
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Science Publishing Corporation (SPC)
2018
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| 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 |
| collection | UTHM |
| 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. |
| first_indexed | 2024-03-05T21:51:04Z |
| format | Article |
| id | uthm.eprints-5345 |
| institution | Universiti Tun Hussein Onn Malaysia |
| last_indexed | 2024-03-05T21:51:04Z |
| publishDate | 2018 |
| publisher | Science Publishing Corporation (SPC) |
| record_format | dspace |
| spelling | 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 |
| 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 |
| title | 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_short | Comprehensive study on ensemble classification for medical applications |
| title_sort | comprehensive study on ensemble classification for medical applications |
| topic | T Technology (General) QA71-90 Instruments and machines |
| work_keys_str_mv | AT roslyrosaida comprehensivestudyonensembleclassificationformedicalapplications AT makhtarmokhairi comprehensivestudyonensembleclassificationformedicalapplications AT awangmohdkhalid comprehensivestudyonensembleclassificationformedicalapplications AT awangmohdisa comprehensivestudyonensembleclassificationformedicalapplications AT abdulrahmanmohdnordin comprehensivestudyonensembleclassificationformedicalapplications AT mahdinhairulnizam comprehensivestudyonensembleclassificationformedicalapplications |