International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org

Call for Paper, Published Articles, Indexing Infromation Survey on Approaches, Problems and Applications of Ensemble of Classifiers , Authors : Rajni David Bagul, Prof. Dr. B. D. Phulpagar, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
Volume & Issue no: Volume 5, Issue 1, January - February 2016

Title:
Survey on Approaches, Problems and Applications of Ensemble of Classifiers
Author Name:
Rajni David Bagul, Prof. Dr. B. D. Phulpagar
Abstract:
Abstract multiple classifiers are learned from same dataset and this multiple trained classifiers are used to predict the unlabeled data, this approach is known as Ensemble of classifiers. Ensemble of classifiers outperforms than using single classifier. Well known approaches of ensembles are boosting, random subspace, bagging, and random forest. Although its success some approaches has some limitations this paper describes distinct designs for ensemble of classifiers, different works to improve the ensemble of classifiers and applications of the ensemble of classifier. Keywords: Ensemble learning, Boosting, Bagging, Random Subspace
Cite this article:
Rajni David Bagul, Prof. Dr. B. D. Phulpagar , " Survey on Approaches, Problems and Applications of Ensemble of Classifiers " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 5, Issue 1, January - February 2016 , pp. 028-030 , ISSN 2278-6856.
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