An analysis on ensemble classifiers in ensemble classification problems

0Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

Kumar, P. N. S., Kumar, V. V. N., & Kumar, K. E. N. (2019). An analysis on ensemble classifiers in ensemble classification problems. International Journal of Innovative Technology and Exploring Engineering, 8(9 Special Issue 3), 382–384. https://doi.org/10.35940/ijitee.I3070.0789S319

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free