Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/351945
Title: A Classification And Prediction Algorithm In Data Mining To Predict Early Dropout Factors By Using Apm
Researcher: Saravanan,M
Guide(s): Jyothi,V L
Keywords: Computer Science
Computer Science Artificial Intelligence
Engineering and Technology
University: Sathyabama Institute of Science and Technology
Completed Date: 2021
Abstract: Transformation of higher education is a major focus on addressing shift in education that responds to economic, social and cultural changes and are to be characterized by increased globalization, interdependency and development in different order among nations. Research in the areas of higher education mainly concentrates on demographics, investigation of various factors that indicate the performance, and apply research results to practical leadership training for social change in various demographics. newline newlineThe critical contributing factor to sustainable livelihoods and economic development of the nation is the major driving factor for the Higher Education in India. This also plays a pivotal role in cognitive understanding and wellbeing, also making every citizen socially conscious, self-aware, cultured and humane nation. In view of forthcoming Industrial Revolution 4.0 specified by the European nations and Society 5.0 concentrated by the Japanese, India aims to lead an increased proportion of employment opportunities with skilled labor having creativeness and multi-disciplinary nature, not only this, young generations are aspiring to become competitive utilizing the higher education opportunities. newline newlineAlthough there has been a drastic improvement in the research and development of Higher Education in India, there have been studies on the various factors that affect studentand#8223;s achievements in particular courses within Indian Universities. The factors that affect these achievements are collected basically to understand that the students are incapable of understanding the requirements essential for the higher education or the choice of wrong major. This leads to the early student dropout amongst the younger generation. This research is done focused towards higher education, to identify, classify and predict an individual newline newlinestudent performance through mining algorithms using certain quality attributes that could make them predict the student dropout ratio. newline newlineThe primary focus of this research stays in investigating, finding
Pagination: A5
URI: http://hdl.handle.net/10603/351945
Appears in Departments:COMPUTER SCIENCE DEPARTMENT

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01. title.pdfAttached File328.26 kBAdobe PDFView/Open
02. certificate.pdf729.85 kBAdobe PDFView/Open
03. acknowledgement.pdf521.58 kBAdobe PDFView/Open
04. abstract.pdf869.16 kBAdobe PDFView/Open
05. table of contents.pdf1.28 MBAdobe PDFView/Open
06. chapter 1.pdf5.87 MBAdobe PDFView/Open
06. chapter 2.pdf6.84 MBAdobe PDFView/Open
06. chapter 3.pdf6.48 MBAdobe PDFView/Open
06. chapter 4.pdf4.54 MBAdobe PDFView/Open
06. chapter 5.pdf3.25 MBAdobe PDFView/Open
06. chapter 6.pdf5.2 MBAdobe PDFView/Open
07. conclusion.pdf541.06 kBAdobe PDFView/Open
08. references.pdf3.94 MBAdobe PDFView/Open
09. curriculam vitae.pdf325.61 kBAdobe PDFView/Open
10. evaluation reports.pdf2.58 MBAdobe PDFView/Open
80_recommendation.pdf328.26 kBAdobe PDFView/Open
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