Detection of fraudulent financial papers by picking a collection of characteristics using optimization algorithms and classification techniques based on squirrels. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Mohsen_Najarbashi>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Peyman_Mohammadzadeh_Germi>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.48550%2FarXiv.2211.07747>
foaf:homepage	<https://doi.org/10.48550/arXiv.2211.07747>
dc:identifier	DBLP journals/corr/abs-2211-07747 (xsd:string)
dc:identifier	DOI doi.org%2F10.48550%2FarXiv.2211.07747 (xsd:string)
dcterms:issued	2022 (xsd:gYear)
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rdfs:label	Detection of fraudulent financial papers by picking a collection of characteristics using optimization algorithms and classification techniques based on squirrels. (xsd:string)
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foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Peyman_Mohammadzadeh_Germi>
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rdfs:seeAlso	<https://doi.org/10.48550/arXiv.2211.07747>
dc:title	Detection of fraudulent financial papers by picking a collection of characteristics using optimization algorithms and classification techniques based on squirrels. (xsd:string)
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