Data mining techniques play an important role in data analysis. For the construction of a classification model which could predict performance of students, particularly for engineering branches, a decision tree algorithm associated with the data mining techniques have been used in the research. A number of factors may affect the performance of students. Data mining technology which can relate to this student grade well and we also used classification algorithms prediction. We proposed student data classification using Naive Bayesian Classifier.
by Khin Khin Lay | Aung Cho ""Using Naive Bayesian Classifier for Predicting Performance of a Student""
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019,
URL: https://www.ijtsrd.com/papers/ijtsrd26463.pdf
Paper URL: https://www.ijtsrd.com/computer-science/data-miining/26463/using-naive-bayesian-classifier-for-predicting-performance-of-a-student/khin-khin-lay
chemistry journal, high impact factor, call for paper management
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