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Employing Divergent Machine Learning Classifiers to Upgrade the Preciseness of Image Retrieval Systems Cover

Employing Divergent Machine Learning Classifiers to Upgrade the Preciseness of Image Retrieval Systems

Cybernetics and Information Technologies
Volume 20 (2020): Issue 3 (September 2020)
By: Shefali Dhingra and  Poonam Bansal  
Open Access
|Sep 2020

Authors

Shefali Dhingra

munjalshefali@gmail.com

Guru Gobind Singh Indraprastha University New Delhi, India

Poonam Bansal

Maharaja Surajmal Institute of Technology, New Delhi, India
DOI: https://doi.org/10.2478/cait-2020-0029 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 75 - 85
Submitted on: Mar 12, 2020
|
Accepted on: Jul 6, 2020
|
Published on: Sep 13, 2020
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Support vector machines,
K-Nearest Neighbour (KNN),
Decision tree,
Naïve bayes,
False alarm rate
Related subjects:
Computer sciences,
Information technology

© 2020 Shefali Dhingra, Poonam Bansal, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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