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Paper Title : A COMPARATIVE STUDY ON FAKE JOB POST PREDICTION USING DIFFERENT DATA MINING TECHNIQUES
ISSN : 2395-1303
Year of Publication : 2022
MLA Style: -Mrs. N. Baby Rani, P. Anjani , P. Yasaswini , P.Kanaka Durga Bhavani A COMPARATIVE STUDY ON FAKE JOB POST PREDICTION USING DIFFERENT DATA MINING TECHNIQUES , Volume 8 - Issue 5 September - October 2022 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org
APA Style: -Mrs. N. Baby Rani, P. Anjani , P. Yasaswini , P.Kanaka Durga Bhavani A COMPARATIVE STUDY ON FAKE JOB POST PREDICTION USING DIFFERENT DATA MINING TECHNIQUES , Volume 8 - Issue 5 September - October 2022 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org
The study suggests an automated way of preventing bogus job postings online that uses categorization techniques based on machine learning. To determine the most effective model for identifying job scams, the output of multiple classifiers was compared. In order to verify false internet postings, these classifiers are used. In the midst of several other ads, it aids in identifying fraudulent job listings. The two fundamental categories of classifiers considered for the purpose.
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