Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/515443
Title: a recommendation model to resolve cavity to improve student outcomes
Researcher: Trivedi Het Tusharbhai
Guide(s): Dr. Ajaykumar M. Patel
Keywords: Computer Science
Computer Science Interdisciplinary Applications
Engineering and Technology
University: Ganpat University
Completed Date: 2023
Abstract: In education, the most important par for any institute is their student s performance and their student s outcomes. Every institutes works very hard to increase their student s performance. The organization always arrange extra sessions for students, they also provides proper trainings for corporate world. All the faculties of the institute also make a big role in improving student s performance by providing proper guidance. newline newlineIn this research, I have work on how institutes can able to identify various major factors which directly or indirectly will effects student s performance. For that, educational data mining is the best way to identify proper results using different parameters and datasets. In educational data mining there are various of algorithms available which can be very much helpful to gain proper results from the datasets. There are various of algorithms are available in Data mining, Classification rules, regression rule, Association rule mining are most useful and will provides accurate and faster results from various datasets. In this research, I have worked with association rule mining algorithms. In association rule mining there are several of algorithms available like, apriori algorithm, FP Growth algorithm, Eclat algorithm. This different algorithms will use the support and confidence values of our datasets and on the basis of that it will find and provides the best rules based on our parameters and datasets. In this research, I have used Apriori algorithm and using that I have found best rules on the basis of my parameters and data sets. For my study, I have taken a set of 20000 students data using the questioner from various institutes and after finding those dataset I have applied it on Apriori algorithm and found some rules. After that I have used that existing apriori algorithm and made several changes and generates a new algorithm and apply same parameters and dataset on my new algorithm it will provides me same rules with better confidence level. newline newline
Pagination: 10661 kB
URI: http://hdl.handle.net/10603/515443
Appears in Departments:Faculty of Computer Applications

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01_title_page.pdfAttached File115.46 kBAdobe PDFView/Open
02_certificate_by_research_guide.pdf71.73 kBAdobe PDFView/Open
05_declaration_by_candidate.pdf72.18 kBAdobe PDFView/Open
80_recommendation.pdf224.68 kBAdobe PDFView/Open
abstract.pdf219.09 kBAdobe PDFView/Open
acknowledgement.pdf196.86 kBAdobe PDFView/Open
annexure.pdf768.97 kBAdobe PDFView/Open
chapter 1.pdf624.07 kBAdobe PDFView/Open
chapter 2.pdf557.88 kBAdobe PDFView/Open
chapter 3.pdf749.32 kBAdobe PDFView/Open
chapter 4.pdf2.06 MBAdobe PDFView/Open
chapter 5.pdf809.8 kBAdobe PDFView/Open
conclusion.pdf335.35 kBAdobe PDFView/Open
list of abbreviations.pdf109.76 kBAdobe PDFView/Open
list of figures.pdf499.43 kBAdobe PDFView/Open
list of tables.pdf494.74 kBAdobe PDFView/Open
preface.pdf195.95 kBAdobe PDFView/Open
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