An Analysis on Ensemble Classifiers in Ensemble Classification Problems
P. Naveen Sundar Kumar1, V. V. Nagendra Kumar2, K. E. Naresh Kumar3
1P. Naveen Sundar Kumar, Assistant Professor, Dept. of CSE, RGMCET, Nandyal Andhra Pradesh India.
2V.V. Nagendra Kumar, Assistant Professor, Dept. of MCA, RGMCET, Nandyal Andhra Pradesh India.
3K.E. Naresh Kumar, Assistant Professor, Dept. of CSE, RGMCET, Nandyal Andhra Pradesh India.
Manuscript received on 02 July 2019 | Revised Manuscript received on 16 July 2019 | Manuscript Published on 23 August 2019 | PP: 382-384 | Volume-8 Issue-9S3 August 2019 | Retrieval Number: I30700789S319/2019©BEIESP | DOI: 10.35940/ijitee.I3070.0789S319
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Classification, Classifier Ensemble, Ensemble Classification.
Scope of the Article: Classification