Classification of Radar Returns from Ionosphere Using NB-Tree and CFS
A. Oo. International Journal of Trend in Scientific Research and Development, 2 (5):
1640-1642(August 2018)
Abstract
This paper present an experimental study of the different classifiers namely Naïve Bayes (NB) and NB-Tree for classification of radar returns from Ionosphere dataset. Correlation-based Feature Subset Selection (CFS) is also used for attribute selection. The purpose is to achieve the efficient result for classification. The comparison of NB classifier and NB-Tree is done based on Ionosphere dataset from UCI machine learning repository. NB-Tree classifier with CFS gives better accuracy for classification of radar returns from ionosphere. Aung Nway Oo"Classification of Radar Returns from Ionosphere Using NB-Tree and CFS" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: http://www.ijtsrd.com/papers/ijtsrd17126.pdf http://www.ijtsrd.com/computer-science/data-miining/17126/classification-of-radar-returns-from-ionosphere-using-nb-tree-and-cfs/aung-nway-oo
%0 Journal Article
%1 noauthororeditor
%A Oo, Aung Nway
%D 2018
%J International Journal of Trend in Scientific Research and Development
%K CFS Database Miining NB NB-Tree classification feature selection
%N 5
%P 1640-1642
%T Classification of Radar Returns from Ionosphere Using NB-Tree and CFS
%U http://www.ijtsrd.com/computer-science/data-miining/17126/classification-of-radar-returns-from-ionosphere-using-nb-tree-and-cfs/aung-nway-oo
%V 2
%X This paper present an experimental study of the different classifiers namely Naïve Bayes (NB) and NB-Tree for classification of radar returns from Ionosphere dataset. Correlation-based Feature Subset Selection (CFS) is also used for attribute selection. The purpose is to achieve the efficient result for classification. The comparison of NB classifier and NB-Tree is done based on Ionosphere dataset from UCI machine learning repository. NB-Tree classifier with CFS gives better accuracy for classification of radar returns from ionosphere. Aung Nway Oo"Classification of Radar Returns from Ionosphere Using NB-Tree and CFS" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: http://www.ijtsrd.com/papers/ijtsrd17126.pdf http://www.ijtsrd.com/computer-science/data-miining/17126/classification-of-radar-returns-from-ionosphere-using-nb-tree-and-cfs/aung-nway-oo
@article{noauthororeditor,
abstract = {This paper present an experimental study of the different classifiers namely Naïve Bayes (NB) and NB-Tree for classification of radar returns from Ionosphere dataset. Correlation-based Feature Subset Selection (CFS) is also used for attribute selection. The purpose is to achieve the efficient result for classification. The comparison of NB classifier and NB-Tree is done based on Ionosphere dataset from UCI machine learning repository. NB-Tree classifier with CFS gives better accuracy for classification of radar returns from ionosphere. Aung Nway Oo"Classification of Radar Returns from Ionosphere Using NB-Tree and CFS" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: http://www.ijtsrd.com/papers/ijtsrd17126.pdf http://www.ijtsrd.com/computer-science/data-miining/17126/classification-of-radar-returns-from-ionosphere-using-nb-tree-and-cfs/aung-nway-oo
},
added-at = {2018-10-03T07:30:33.000+0200},
author = {Oo, Aung Nway},
biburl = {https://www.bibsonomy.org/bibtex/2958fe4ce4377360ad715bacb12fbda65/ijtsrd},
interhash = {53bd71e3f5a3f4cc6d75f103e3e9d633},
intrahash = {958fe4ce4377360ad715bacb12fbda65},
issn = {2456-6470},
journal = {International Journal of Trend in Scientific Research and Development},
keywords = {CFS Database Miining NB NB-Tree classification feature selection},
language = {English},
month = aug,
number = 5,
pages = {1640-1642},
timestamp = {2018-10-03T07:30:33.000+0200},
title = {Classification of Radar Returns from Ionosphere Using NB-Tree and CFS
},
url = {http://www.ijtsrd.com/computer-science/data-miining/17126/classification-of-radar-returns-from-ionosphere-using-nb-tree-and-cfs/aung-nway-oo},
volume = 2,
year = 2018
}