Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/471457
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dc.coverage.spatial
dc.date.accessioned2023-03-21T10:43:23Z-
dc.date.available2023-03-21T10:43:23Z-
dc.identifier.urihttp://hdl.handle.net/10603/471457-
dc.description.abstractnewline
dc.format.extentxi, 181p
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleUplifting the performance of system by manipulating unbalanced datasets for machine learning
dc.title.alternative
dc.creator.researcherNarwane, Swati Vaibhav
dc.subject.keywordClass imbalance
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordHealthcare
dc.subject.keywordMachine learning
dc.subject.keywordPrincipal components analysis
dc.subject.keywordSensitivity analysis
dc.subject.keywordSimilarity distance ranking
dc.subject.keywordUnbalanced dataset
dc.description.noteLocation - Knowledge Resource Centre, Kalina
dc.contributor.guideSawarkar, Sudhirkumar D
dc.publisher.placeMumbai
dc.publisher.universityUniversity of Mumbai
dc.publisher.institutionComputer Enginnering, Datta Meghe College of Engineering
dc.date.registered2019
dc.date.completed2021
dc.date.awarded2022
dc.format.dimensions21*30
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Computer Enginnering, Datta Meghe College of Engineering

Files in This Item:
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01_title.pdfAttached File15.17 kBAdobe PDFView/Open
02_prelim pages.pdf277.29 kBAdobe PDFView/Open
03_contents.pdf96.77 kBAdobe PDFView/Open
04_abstract.pdf123.42 kBAdobe PDFView/Open
05_chapter 1.pdf170.46 kBAdobe PDFView/Open
06_chapter 2.pdf479.05 kBAdobe PDFView/Open
07_chapter 3.pdf311.1 kBAdobe PDFView/Open
08_chapter 4.pdf508.04 kBAdobe PDFView/Open
09_chapter 5.pdf2.12 MBAdobe PDFView/Open
10_chapter 6.pdf79.57 kBAdobe PDFView/Open
11_annexures.pdf5.19 MBAdobe PDFView/Open
80_recommendation.pdf93.31 kBAdobe PDFView/Open


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