1. Shodhganga@INFLIBNET
  2. Indian Institute of Technology Kharagpur
  3. Computer Science and Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/456045
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-02-03T11:19:31Z-
dc.date.available2023-02-03T11:19:31Z-
dc.identifier.urihttp://hdl.handle.net/10603/456045-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAnalysis and Early Prediction of Student Performance using Data Mining Approaches
dc.title.alternative
dc.creator.researcherKhan, Anupam
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideGhosh, Soumya Kanti
dc.publisher.placeKharagpur
dc.publisher.universityIndian Institute of Technology Kharagpur
dc.publisher.institutionComputer Science and Engineering
dc.date.registered
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Computer Science and Engineering

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01_title.pdfAttached File407.16 kBAdobe PDFView/Open
04_abstract.pdf63.93 kBAdobe PDFView/Open
80_recommendation.pdf1.75 MBAdobe PDFView/Open
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