Developing classifiers through machine learning algorithms for student placement prediction based on academic performance
In the era of globalization, student placement is very challenging issue for all educational
institutions. For engineering institutions, placement is a key factor to maintain good ranking …
institutions. For engineering institutions, placement is a key factor to maintain good ranking …
Predicting patterns of student graduation rates using Naïve bayes classifier and support vector machine
A Kesumawati, DT Utari - AIP conference proceedings, 2018 - pubs.aip.org
In Indonesia education is one of the important aspects to be implemented by anyone aiming
to educate and create a reliable and resilient generation. One of the forms of education is …
to educate and create a reliable and resilient generation. One of the forms of education is …
Forecasting of Campus Placement for Students Using Ensemble Voting Classifier
S Dutta, SK Bandyopadhyay - Asian Journal of …, 2020 - journal.article2publish.com
Campus placement is a measure of students' performance in a course. A forecasting method
is proposed in this paper to predict possible campus placement of any institution. Data …
is proposed in this paper to predict possible campus placement of any institution. Data …
Predicted increase enrollment in higher education using neural networks and data mining techniques
B Nakhkob, M Khademi - Journal of Advances in Computer Research, 2016 - jacr.sari.iau.ir
Advanced data mining techniques can be used in universities classification, discovering
specific patterns in the determination of successful students, design of a plan or a teaching …
specific patterns in the determination of successful students, design of a plan or a teaching …
A data mining approach to predict academic performance of students using ensemble techniques
Abstract Recently, Educational Data Mining (EDM), emerged as a new area of research due
to the enlargement of various statistical methods used to explore data in educational …
to the enlargement of various statistical methods used to explore data in educational …
[PDF][PDF] Student academic performance prediction using artificial neural networks: A case study
MA Umar - International Journal of Computer Applications, 2019 - academia.edu
Students dropout and delay in graduation are significant problems at Katsina State Institute
of Technology and Management (KSITM). There are various reasons for that, students' …
of Technology and Management (KSITM). There are various reasons for that, students' …
The analysis of student performance using data mining
LW Santoso, Yulia - … and Computational Sciences: Proceedings of IC4S …, 2019 - Springer
This paper presents the study of data mining in the education industry to model the
performance for students enrolled in university. Two algorithms of data mining were used …
performance for students enrolled in university. Two algorithms of data mining were used …
Improving student enrollment prediction using ensemble classifiers
SK Wanjau, GM Muketha - 2018 - repository.mut.ac.ke
In the recent years, data mining has been utilized in education settings for extracting and
manipulating data, and for establishing patterns in order to produce useful information for …
manipulating data, and for establishing patterns in order to produce useful information for …
A case study on student attrition prediction in higher education using data mining techniques
Student attrition in higher educational institutions (HEI) concern with the failure of
undergraduate students who unable to complete their studies within the stipulated period …
undergraduate students who unable to complete their studies within the stipulated period …