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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Published Paper Details:
Paper Title
CLASSIFYING FAKE AND REAL JOB RECRUITMENT USING ADA BOOST SND GRADIENT ALGORITHMS IN MACHINE LEARNING
Authors
Afreen Sultana, Humera Tabbasum, Dr.Mohammed Abdul Bari
Keywords
Fake Job, Online Recruitment, Machine Learning, Ensemble Approach.
Abstract
To avoid fraudulent post for job in the internet, an automated tool using machine learning based classification techniques is proposed in the paper. Different classifiers are used for checking fraudulent post in the web and the results of those classifiers are compared for identifying the best employment scam detection model. It helps in detecting fake job posts from an enormous number of posts. Two major types of classifiers, such as single classifier and ensemble classifiers are considered for fraudulent job posts detection. However, experimental results indicate that ensemble classifiers are the best classification to detect scams over the single classifiers.
IJCRT's Publication Details
Unique Identification Number - IJCRT2205244
Paper ID - 219314
Page Number(s) - c247-c252
Pubished in - Volume 10 | Issue 5 | May 2022
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Afreen Sultana, Humera Tabbasum, Dr.Mohammed Abdul Bari, "CLASSIFYING FAKE AND REAL JOB RECRUITMENT USING ADA BOOST SND GRADIENT ALGORITHMS IN MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 5, pp.c247-c252, May 2022, Available at :http://www.ijcrt.org/papers/IJCRT2205244.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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