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...
Saved in:
Main Authors: | Sainin, Mohd Shamrie, Alfred, Rayner, Ahmad, Faudziah |
---|---|
Format: | Conference or Workshop Item |
Published: |
2016
|
Subjects: | |
Online Access: | http://repo.uum.edu.my/19522/ http://doi.org/10.1063/1.4960933 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-Label Text Classification for Indonesian Language IT Journal with K-Nearest Neighbors (KNN)
by: Redho Aidil, Iqrom, et al.
Published: (2023) -
Pattern Recognition Using K-Nearest Neighbors (KNN) Technique
by: Mohd Farisfaiz Bin Che Lah, Mohd Farisfaiz
Published: (2010) -
The classification of meat odor-profile using K-nearest neighbors (KNN)
by: Nur Farina, Hamidon Majid, et al. -
Classification of gait parameters in stroke with peripheral neuropathy (PN) by using k-Nearest Neighbors (kNN) algorithm / N. Anang ...[et al.]
by: Anang, N., et al.
Published: (2018) -
k-nearest neighbour using ensemble clustering based on feature selection approach to learning relational data
by: Alfred, Rayner, et al.
Published: (2016)