Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/447082
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-01-16T06:11:12Z-
dc.date.available2023-01-16T06:11:12Z-
dc.identifier.urihttp://hdl.handle.net/10603/447082-
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titlePredicting the Occasional profit and Stock clearance from reviews on e commerce sites of trending market using Hybrid algorithms of Occasional Mining
dc.title.alternative
dc.creator.researcherSonare, Sushila
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Interdisciplinary Applications
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideKamble, Megha
dc.publisher.placeBhopal
dc.publisher.universityLNCT University
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered2018
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Engineering

Files in This Item:
File Description SizeFormat 
80_recommendation.pdfAttached File1.84 MBAdobe PDFView/Open
abstract.pdf371.56 kBAdobe PDFView/Open
acknowledgement.pdf299.06 kBAdobe PDFView/Open
certificate.pdf445.76 kBAdobe PDFView/Open
chapter 1.pdf7.18 MBAdobe PDFView/Open
chapter 2.pdf8.59 MBAdobe PDFView/Open
chapter 3.pdf13.11 MBAdobe PDFView/Open
chapter 4.pdf9.65 MBAdobe PDFView/Open
chapter 5.pdf1.02 MBAdobe PDFView/Open
chapter 6.pdf711.06 kBAdobe PDFView/Open
content and lit of tables fig.pdf1.77 MBAdobe PDFView/Open
declaration.pdf482.09 kBAdobe PDFView/Open
title.pdf103.3 kBAdobe PDFView/Open


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