Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/527425
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-11-24T06:28:53Z-
dc.date.available2023-11-24T06:28:53Z-
dc.identifier.urihttp://hdl.handle.net/10603/527425-
dc.description.abstractnewline
dc.format.extentxii, 129 p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDetecting and Combating False Information using Incremental Learning Approach
dc.title.alternative
dc.creator.researcherBarve, Yashoda Narayanprasad
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Interdisciplinary Applications
dc.subject.keywordContent Similarity Measure
dc.subject.keywordContent Similarity Score
dc.subject.keywordCredHealth
dc.subject.keywordEngineering and Technology
dc.subject.keywordFactHealth
dc.subject.keywordMisinformation
dc.subject.keywordVeracity Scanning Model
dc.description.note
dc.contributor.guideSaini, Jatinderkumar R.
dc.publisher.placePune
dc.publisher.universitySymbiosis International University
dc.publisher.institutionFaculty of Computer Studies
dc.date.registered2017
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Computer Studies

Files in This Item:
File Description SizeFormat 
01_title..pdfAttached File309.58 kBAdobe PDFView/Open
02_prelim pages..pdf2.48 MBAdobe PDFView/Open
03_chapter 1..pdf705.13 kBAdobe PDFView/Open
04_chapter 2..pdf1.19 MBAdobe PDFView/Open
05_chapter 3..pdf1.08 MBAdobe PDFView/Open
06_chapter 4..pdf2.92 MBAdobe PDFView/Open
07_chapter 5..pdf991.63 kBAdobe PDFView/Open
08_chapter 6..pdf429.62 kBAdobe PDFView/Open
09_chapter 7..pdf457.87 kBAdobe PDFView/Open
10_annexure..pdf8.2 MBAdobe PDFView/Open
80_recommendation.pdf1.03 MBAdobe PDFView/Open


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