Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/570963
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dc.coverage.spatial
dc.date.accessioned2024-06-12T10:07:46Z-
dc.date.available2024-06-12T10:07:46Z-
dc.identifier.urihttp://hdl.handle.net/10603/570963-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAn Empirical Machine Learning Strategy to Predict the Rate of Gold in Association With Other Commodities
dc.title.alternative
dc.creator.researcherKalpana A
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Cybernetics
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideRohini K
dc.publisher.placeChennai
dc.publisher.universityVels University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered2020
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File74.12 kBAdobe PDFView/Open
02_prelim pages.pdf192.51 kBAdobe PDFView/Open
03_content.pdf10.82 kBAdobe PDFView/Open
04_abstract.pdf4.32 kBAdobe PDFView/Open
05_chapter 1.pdf244.81 kBAdobe PDFView/Open
06_chapter 2.pdf142.1 kBAdobe PDFView/Open
07_chapter 3.pdf103.17 kBAdobe PDFView/Open
08_ chapter 4.pdf1.15 MBAdobe PDFView/Open
10_annexures.pdf2.79 MBAdobe PDFView/Open
80_recommendation.pdf14.59 kBAdobe PDFView/Open


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