Comprehensive study on ensemble classification for medical applications

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

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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.

Item Type: Article
Uncontrolled Keywords: Classification; Single Classification; Ensemble Methods; Medical Application
Subjects: T Technology > T Technology (General)
Q Science > QA Mathematics > QA71-90 Instruments and machines
Divisions: Faculty of Computer Science and Information Technology > Department of Web Technology
Depositing User: UiTM Student Praktikal
Date Deposited: 09 Jan 2022 04:07
Last Modified: 09 Jan 2022 04:07

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