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Implementation of Course Recommendation System based on Students’ Course Selection Records

http://hdl.handle.net/20.500.12678/0000004004
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None
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55114.pdf 55114.pdf (326 Kb)
Publication type
Article
Upload type
Publication
Title
Title Implementation of Course Recommendation System based on Students’ Course Selection Records
Language en
Publication date 2009-12-30
Authors
Naing, Le Mun
Hlaing, Swe Zin
Description
A course recommendation system is used toprovide students some suggestions when choosingcourses for online. Within courses, the mostappropriate courses then are able to find out formaking suggestions to students. It is worth to notethat this system is not only can use in university orcollege, but also available for any level ofeducation. This paper presents the recommendationsystem based on the Classification and PredictionMethodology. Naïve Bayesian Classification and theprediction methodology integrate to recommend thestudent course selection. The itemsets for generatingcourse items are classified based on the Coursestaken by the students. It exploits a Naïve BayesianClassification and prediction methodology of courserecommendations for students. The implementationof this system implies the Bayesian classifier andgenerates courses from the classified output. Thissystem will be implemented by using ASP.NET,SQLServer 2005.
Keywords
Classification, Prediction Methodology, Naïve Bayessian Classification
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1716
Journal articles
Fourth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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