Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/339322
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dc.coverage.spatial
dc.date.accessioned2021-09-07T03:48:13Z-
dc.date.available2021-09-07T03:48:13Z-
dc.identifier.urihttp://hdl.handle.net/10603/339322-
dc.description.abstractLearning Analytics have been increased further consideration as well as a few propelled data digging model has been created to get the concealed source as of educational database.It is used for investigating the novel and progressively enormous scope information that come from instructive settings and utilizing those strategies to comprehend the students successfully. Institutions in Higher Educational sector have also started using the significance of EDM models based on student s individual Psychological factors as input and output for taking the performance of the students and the institution to the next level newline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titlePredicting Behavior Analysis for Improving Learning Pattern Using Machine Learning Algorithms
dc.title.alternative
dc.creator.researcherVidhya R
dc.subject.keywordAutomation and Control Systems
dc.subject.keywordComputer Science
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideVadivu G
dc.publisher.placeKattankulathur
dc.publisher.universitySRM University
dc.publisher.institutionDepartment of Computer Science Engineering
dc.date.registered
dc.date.completed2021
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science Engineering

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80_recommendation.pdfAttached File359.06 kBAdobe PDFView/Open
certificate page.pdf169.12 kBAdobe PDFView/Open
chapter 1.pdf689.47 kBAdobe PDFView/Open
chapter 2.pdf437.51 kBAdobe PDFView/Open
chapter 3.pdf407.07 kBAdobe PDFView/Open
chapter 4.pdf1.11 MBAdobe PDFView/Open
chapter 5.pdf334.3 kBAdobe PDFView/Open
curriculum vitae.pdf331.92 kBAdobe PDFView/Open
list of publications.pdf335.7 kBAdobe PDFView/Open
preliminary page.pdf232.4 kBAdobe PDFView/Open
references.pdf381.34 kBAdobe PDFView/Open
title page.pdf35.15 kBAdobe PDFView/Open


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