Performance Comparison of Two Class Boosted Decision Tree snd Two Class Decision Forest Algorithms in Predicting Fake Job Postings

Results showed that a two - class boosted decision tree is better for detecting fake job posts than the two - class forest decision algorithm. [...]a two - class decision forest algorithm can be used to find and identify false or gossip messages, tweets, and social media publications. Employers also...

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Bibliographic Details
Published inAnnals of the Romanian society for cell biology Vol. 25; no. 4; pp. 2462 - 2472
Main Authors Shibly, F H A, Sharma, Uzzal, Naleer, H M M
Format Journal Article
LanguageEnglish
Published Arad "Vasile Goldis" Western University Arad, Romania 01.01.2021
Subjects
Advertising pages
Algorithms
Classification
Coronaviruses
Cybercrime
Decision making
Decision trees
Employment
Fraud
Human resources
Information systems
Machine learning
Office automation
Personal information
Social networks
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ISSN2067-3019
2067-8282

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Summary:Results showed that a two - class boosted decision tree is better for detecting fake job posts than the two - class forest decision algorithm. [...]a two - class decision forest algorithm can be used to find and identify false or gossip messages, tweets, and social media publications. Employers also can filter the applications quickly and make shortlists within a short period. [...]electronic recruitment makes human resource functions speedy. [...]individuals innocently spend time and effort filling out job applications for fake sites with personal and confidential details. [...]if the contact details on the fake advertisement are those of a real business, it will have to deal with receiving vacancy applications that do not exist. [...]a proper mechanism should be identified and implemented automatically.
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ISSN:2067-3019
2067-8282