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An Analysis on Ensemble Classifiers in Ensemble Classification Problems
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i3070.0789s319
Subject(s) - classifier (uml) , computer science , random subspace method , cascading classifiers , ensemble learning , artificial intelligence , data mining , machine learning , pattern recognition (psychology)
Day to Day the amount of data was increasing rapidly. Due to analyzing the huge amount of data various technologies are also introduced. Traditional data mining approaches can be used to perform data analysis through classification algorithms. In data mining a single classifier can be used to perform data analysis. Sometimes, multiple or combined classifier can also be used to perform data analysis. But, the performance of ensemble classifier is better than single classifier. Based on improved accuracy the various number of ensemble classifiers are introduced. Now, this paper can reviews various ensemble classifiers based on their accuracy.

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