Using Naive Bayesian Classifier for Predicting Performance of a Student
Journal: International Journal of Trend in Scientific Research and Development (Vol.3, No. 5)Publication Date: 2019-15-8
Authors : Khin Khin Lay Aung Cho;
Page : 1387-1391
Keywords : Data Miining; Classification; Naive Bayesian; Data Mining; Predicting Performance;
Abstract
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. 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.pdfPaper URL: https://www.ijtsrd.com/computer-science/data-miining/26463/using-naive-bayesian-classifier-for-predicting-performance-of-a-student/khin-khin-lay
Other Latest Articles
- Design of Grounding System for Substation
- Development of universal method for determining specific mass or thickness of scale crust on the surface of wire rod after continuous cooling
- Study on Physical and Mechanical Properties of Dispersive Soil
- Experiential Investigation on the Stabilization of Dispersive Soil with Lime
- Alleviating Students' Foreign Language Speaking Anxiety through Cooperative Learning
Last modified: 2019-09-09 14:53:40