CatBoost—An ensemble machine learning model for prediction and classification of student academic performance
In every educational institution, predicting pupils' performance is a vital responsibility. Due to
this, a variety of data mining techniques, such as clustering, classification, and regression …
this, a variety of data mining techniques, such as clustering, classification, and regression …
[PDF][PDF] Mining student data by ensemble classification and clustering for profiling and prediction of student academic performance
A Satyanarayana, G Ravichandran - American Society for Engineering …, 2016 - hofstra.edu
Abstract Applying Data Mining (DM) in education is an emerging interdisciplinary research
field also known as Educational Data Mining (EDM). Ensemble techniques have been …
field also known as Educational Data Mining (EDM). Ensemble techniques have been …
Data mining using ensemble classifiers for improved prediction of student academic performance
A Satyanarayana, M Nuckowski - 2016 - academicworks.cuny.edu
In the last decade Data mining (DM) has been applied in the field of education, and is an
emerging interdisciplinary research field also known as Educational Data Mining (EDM) …
emerging interdisciplinary research field also known as Educational Data Mining (EDM) …
An ensemble and filtering-based system for predicting educational data mining
AR Hananto, SA Rahayu… - Journal of Applied Data …, 2021 - bright-journal.org
When developing a prediction paradigm, an ensemble technique such as boosting is used.
It is built on a heuristic framework. Generally speaking, engineering ensemble learning is …
It is built on a heuristic framework. Generally speaking, engineering ensemble learning is …
Student's Academic Performance Prediction Using Ensemble Methods Through Educational Data Mining
S Vaheed, R Pratap Singh, P Nayak… - … Applications, Volume 1 …, 2022 - Springer
Student academic performance (SAP) is one of the most important factors that influence the
attainment of an educational institution. Educational data mining (EDM) follows the principle …
attainment of an educational institution. Educational data mining (EDM) follows the principle …
[PDF][PDF] Mining educational data to predict student's academic performance using ensemble methods
Educational data mining has received considerable attention in the last few years. Many
data mining techniques are proposed to extract the hidden knowledge from educational …
data mining techniques are proposed to extract the hidden knowledge from educational …
Students' performance prediction using feature selection and supervised machine learning algorithms
J Gajwani, P Chakraborty - … : Proceedings of ICICC 2020, Volume 1, 2021 - Springer
Educational data mining involves finding patterns in educational data which can be obtained
from various e-learning systems or can be gathered using traditional surveys. In this paper …
from various e-learning systems or can be gathered using traditional surveys. In this paper …
Systematic ensemble model selection approach for educational data mining
A plethora of research has been done in the past focusing on predicting student's
performance in order to support their development. Many institutions are focused on …
performance in order to support their development. Many institutions are focused on …
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 …
[HTML][HTML] Contributions of machine learning models towards student academic performance prediction: a systematic review
Machine learning is emerging nowadays as an important tool for decision support in many
areas of research. In the field of education, both educational organizations and students are …
areas of research. In the field of education, both educational organizations and students are …