Assessment and evaluation of different machine learning algorithms for predicting student performance
YA Alsariera, Y Baashar, G Alkawsi… - Computational …, 2022 - Wiley Online Library
Student performance is crucial to the success of tertiary institutions. Especially, academic
achievement is one of the metrics used in rating top‐quality universities. Despite the large …
achievement is one of the metrics used in rating top‐quality universities. Despite the large …
Predicting student's performance using machine learning methods: A systematic literature review
Student's performance is a success factor in higher education institutions. The excellent
record of academic achievements raises the institution's ranking as one of the criteria for a …
record of academic achievements raises the institution's ranking as one of the criteria for a …
Predicting the geopolymerization process of fly ash-based geopolymer using deep long short-term memory and machine learning
H Tanyildizi - Cement and Concrete Composites, 2021 - Elsevier
In this study, the geopolymerization process of fly ash-based geopolymer was estimated
using the deep long short-term memory (LSTM) and machine learning models. The k …
using the deep long short-term memory (LSTM) and machine learning models. The k …
Automatic classification of atrial fibrillation from short single-lead ECG recordings using a Hybrid Approach of Dual Support Vector Machine
GGN Geweid, JDZ Chen - Expert Systems with Applications, 2022 - Elsevier
Millions of people worldwide are affected by cardiac arrythmias currently. One of the life
threatening arrythmias associated with high morbidity and mortality is Atrial Fibrillation (AFr) …
threatening arrythmias associated with high morbidity and mortality is Atrial Fibrillation (AFr) …
A proposed framework in an intelligent recommender system for the college student
This article aims to proposed framework an Intelligent Recommender System (IRS) for
students in higher education institutions. This conceptual framework includes problems in …
students in higher education institutions. This conceptual framework includes problems in …
Geographic information system for mapping public service location
This article aims to analyze, design, and development public service location mapping
system based on Geographic Information System (GIS). GIS technology is a useful …
system based on Geographic Information System (GIS). GIS technology is a useful …
Pemetaan Karakteristik Mahasiswa Penerima Kartu Indonesia Pintar Kuliah (KIP-K) menggunakan Algoritma K-Means++
F Nuraeni, D Kurniadi… - Jurnal Sisfokom (Sistem …, 2023 - jurnal.atmaluhur.ac.id
Pengetahuan baru mengenai pemetaan karakteristik mahasiswa penerima KIP-K pada
perguruan tinggi dapat menggunakan penggalian data yaitu teknik clustering. Pemetaan …
perguruan tinggi dapat menggunakan penggalian data yaitu teknik clustering. Pemetaan …
Comparative analysis of decision tree algorithms: Random forest and C4. 5 for airlines customer satisfaction classification
This article aims to a comparative analysis of decision tree algorithms between random
forest and C4. 5 for airlines customer satisfaction classification. The comparative study …
forest and C4. 5 for airlines customer satisfaction classification. The comparative study …
A scalable machine learning-based ensemble approach to enhance the prediction accuracy for identifying students at-risk
Among the educational data mining problems, the early prediction of the students' academic
performance is the most important task, so that timely and requisite support may be provided …
performance is the most important task, so that timely and requisite support may be provided …
Perancangan Aplikasi Sistem Pakar untuk Diagnosis Penyakit pada Ikan Cupang dengan Metode Naive Bayes
IM Fadhil, DDS Fatimah, D Kurniadi - Jurnal Algoritma, 2019 - jurnal.itg.ac.id
Ikan cupang merupakan ikan air tawar yang biasa hidup disekitaran rawa-rawa dan ikan
yang memiliki sifat agresif untuk mempertahankan wilayah tempat tinggalnya. Penyakit yang …
yang memiliki sifat agresif untuk mempertahankan wilayah tempat tinggalnya. Penyakit yang …