Using Naive Bayesian Classifier for Predicting Performance of a Student ijtsrd


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

call for paper Geological Engineering, international journal Real-time Computing, ugc approved journals Telecommunications




Using Naive Bayesian Classifier for Predicting Performance of a Student ijtsrd IEEE PAPER





2020 technology trends
2019-TOP-TECHNOLOGIES
2019 papers
2018-TOP-TECHNOLOGIES
2018 papers

IEEE PROJECTS 2019


IEEE PROJECTS CSE 2019
IEEE PROJECTS ECE 2019
IEEE PROJECTS EEE 2019
IEEE PROJECTS VLSI
IEEE PROJECTS EMBEDDED SYSTEM

IEEE PROJECTS


IEEE PROJECTS ECE
IEEE PROJECTS CSE COMPUTER SCIENCE
IEEE PROJECTS ELECTRICAL ENGINEERING
IEEE PROJECTS EEE

IEEE PROJECTS