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: | , , , , , |
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| Format: | Article |
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Science Publishing Corporation (SPC)
2018
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/5345/ http://dx.doi.org/10.14419/ijet.v7i2.14.12822 |
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| Summary: | 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. |
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