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ENBFS+kNN: Hybrid ensemble classifier using entropy-based naïve Bayes with feature selection and k-nearest neighbor

A hybrid ensemble classifier which combines the entropy based naive Bayes (ENB) classifier strategy and k-nearest neighbor (k-NN) is examined.The classifiers are joined in light of the fact that naive Bayes gives prior estimations taking into account entropy while k-NN gives neighborhood estimate to...

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Main Authors: Sainin, Mohd Shamrie, Alfred, Rayner, Ahmad, Faudziah
Format: Conference or Workshop Item
Published: 2016
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://repo.uum.edu.my/19522/
http://doi.org/10.1063/1.4960933
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id my.uum.repo.19522
record_format eprints
spelling my.uum.repo.195222016-11-15T04:02:11Z http://repo.uum.edu.my/19522/ ENBFS+kNN: Hybrid ensemble classifier using entropy-based naïve Bayes with feature selection and k-nearest neighbor Sainin, Mohd Shamrie Alfred, Rayner Ahmad, Faudziah QA75 Electronic computers. Computer science A hybrid ensemble classifier which combines the entropy based naive Bayes (ENB) classifier strategy and k-nearest neighbor (k-NN) is examined.The classifiers are joined in light of the fact that naive Bayes gives prior estimations taking into account entropy while k-NN gives neighborhood estimate to model for a deferred characterization. While original NB utilizes the probabilities, this study utilizes the entropy as priors for class estimations. The result of the hybrid ensemble classifier demonstrates that by consolidating the classifiers, the proposed technique accomplishes promising execution on several benchmark datasets. 2016-04-11 Conference or Workshop Item PeerReviewed Sainin, Mohd Shamrie and Alfred, Rayner and Ahmad, Faudziah (2016) ENBFS+kNN: Hybrid ensemble classifier using entropy-based naïve Bayes with feature selection and k-nearest neighbor. In: 2016 International Conference on Applied Science and Technology (ICAST 2016), 11–13 April 2016, Kedah, Malaysia. http://doi.org/10.1063/1.4960933 doi:10.1063/1.4960933
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Sainin, Mohd Shamrie
Alfred, Rayner
Ahmad, Faudziah
ENBFS+kNN: Hybrid ensemble classifier using entropy-based naïve Bayes with feature selection and k-nearest neighbor
description A hybrid ensemble classifier which combines the entropy based naive Bayes (ENB) classifier strategy and k-nearest neighbor (k-NN) is examined.The classifiers are joined in light of the fact that naive Bayes gives prior estimations taking into account entropy while k-NN gives neighborhood estimate to model for a deferred characterization. While original NB utilizes the probabilities, this study utilizes the entropy as priors for class estimations. The result of the hybrid ensemble classifier demonstrates that by consolidating the classifiers, the proposed technique accomplishes promising execution on several benchmark datasets.
format Conference or Workshop Item
author Sainin, Mohd Shamrie
Alfred, Rayner
Ahmad, Faudziah
author_facet Sainin, Mohd Shamrie
Alfred, Rayner
Ahmad, Faudziah
author_sort Sainin, Mohd Shamrie
title ENBFS+kNN: Hybrid ensemble classifier using entropy-based naïve Bayes with feature selection and k-nearest neighbor
title_short ENBFS+kNN: Hybrid ensemble classifier using entropy-based naïve Bayes with feature selection and k-nearest neighbor
title_full ENBFS+kNN: Hybrid ensemble classifier using entropy-based naïve Bayes with feature selection and k-nearest neighbor
title_fullStr ENBFS+kNN: Hybrid ensemble classifier using entropy-based naïve Bayes with feature selection and k-nearest neighbor
title_full_unstemmed ENBFS+kNN: Hybrid ensemble classifier using entropy-based naïve Bayes with feature selection and k-nearest neighbor
title_sort enbfs+knn: hybrid ensemble classifier using entropy-based naïve bayes with feature selection and k-nearest neighbor
publishDate 2016
url http://repo.uum.edu.my/19522/
http://doi.org/10.1063/1.4960933
_version_ 1644282722707832832
score 13.149126

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