Predicting academic performance of students using a hybrid data mining approach
BK Francis, SS Babu - Journal of medical systems, 2019 - Springer
Data mining offers strong techniques for different sectors involving education. In the
education field the research is developing rapidly increasing due to huge number of …
education field the research is developing rapidly increasing due to huge number of …
Educational data mining to predict students' academic performance: A survey study
Educational data mining is an emerging interdisciplinary research area involving both
education and informatics. It has become an imperative research area due to many …
education and informatics. It has become an imperative research area due to many …
The role of demographic and academic features in a student performance prediction
Abstract Educational Data Mining is widely used for predicting student's performance. It'sa
challenging task because a plethora of features related to demographics, personality traits …
challenging task because a plethora of features related to demographics, personality traits …
[PDF][PDF] Hybrid machine learning algorithms for predicting academic performance
P Sokkhey, T Okazaki - Int. J. Adv. Comput. Sci. Appl, 2020 - academia.edu
The large volume of data and its complexity in educational institutions require the sakes from
informative technologies. In order to facilitate this task, many researchers have focused on …
informative technologies. In order to facilitate this task, many researchers have focused on …
[PDF][PDF] Predicting student program completion using Naïve Bayes classification algorithm
Data mining approaches provide different educational institutions opportunities to find
hidden patterns from the data stored in the database. Many researchers have used these …
hidden patterns from the data stored in the database. Many researchers have used these …
Students' success prediction based on Bayes algorithms
Prediction in data mining is a sophisticated task that is conducted in various disciplines.
Given that the overall success of educational institutions can be measured by their students' …
Given that the overall success of educational institutions can be measured by their students' …
Digital media-based quantum learning: Improving students' German writing, critical thinking and learning motivation
W Akihary, PS Apituley - REiLA: Journal of Research and …, 2022 - pustaka-psm.unilak.ac.id
The quantum learning model is a combination of various interactions that occur during the
learning process. This learning model can be combined with the Assoziogram technique or …
learning process. This learning model can be combined with the Assoziogram technique or …
An enhanced evolutionary student performance prediction model using whale optimization algorithm boosted with sine-cosine mechanism
The students' performance prediction (SPP) problem is a challenging problem that
managers face at any institution. Collecting educational quantitative and qualitative data …
managers face at any institution. Collecting educational quantitative and qualitative data …
[PDF][PDF] Feature selection techniques to analyse student acadamic performance using Naïve Bayes classifier
C Anuradha, T Velmurugan - The 3rd international conference on …, 2016 - researchgate.net
Data mining provides educational institutions that the capability to explore, visualize and
analyze large amounts of data in order to reveal valuable patterns in students' learning …
analyze large amounts of data in order to reveal valuable patterns in students' learning …
Developing classifier for the prediction of students' performance using data mining classification techniques
A Auwal, AA Ibrahim, O Bayat - 2020 - dergipark.org.tr
Data mining is used in academic institutions to predict the performance of students using
classification techniques. These techniques are applied on students' features in order to find …
classification techniques. These techniques are applied on students' features in order to find …