Developing Novel Resampling Methods to Address Class Imbalance and Class Overlap Issues for Minority Class Prediction

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dc.contributor.guideYadav, Rama Shankar and Singh, Dinesh
dc.coverage.spatial
dc.creator.researcherAnil Kumar
dc.date.accessioned2025-10-29T06:00:56Z
dc.date.available2025-10-29T06:00:56Z
dc.date.awarded2025
dc.date.completed2025
dc.date.registered2019
dc.description.abstractAvailable newline
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extenti;250p.
dc.identifier.researcherid
dc.identifier.urihttp://hdl.handle.net/10603/670064
dc.languageEnglish
dc.publisher.institutionDepartment of Computer Scinece and Engineering
dc.publisher.placeAllahabad
dc.publisher.universityMotilal Nehru National Institute of Technology
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordEngineering and Technology
dc.titleDeveloping Novel Resampling Methods to Address Class Imbalance and Class Overlap Issues for Minority Class Prediction
dc.title.alternative
dc.type.degreePh.D.

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