ISSN: 1683-3198
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e-ISSN: 2309-4524
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DOI: 10.34028/iajit
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The International Arab Journal of Information Technology
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Leveraging on Synthetic Data Generation Techniques to Train Machine Learning Models for Tenaga Nasional Berhad Stock Price Movement Prediction
Nur Aliah Syahmina Mohd Nazarudin,Nor Hapiza Mohd Ariffin,Ruhaila Maskat
#Stock price prediction
#machine learning
#synthetic data generation
Survival Prediction of Children after Bone Marrow Transplant Using Machine Learning Algorithms
Hussam Alawneh,Ahmad Hasasneh
#Bone marrow transplant
#hematopoietic stem cell
#random forest
#bagging
#adaboost
#gradient boost
#decision tree
#XGBoost
XAI-PDF: A Robust Framework for Malicious PDF Detection Leveraging SHAP-Based Feature Engineering
Mustafa Al-Fayoumi,Qasem Abu Al-Haija,Rakan Armoush,Christine Amareen
#Machine learning
#malicious PDF detection
#feature engineering
#explainable artificial intelligence
#shapley additive explanations
Design and Study of Zombie Enterprise Classification and Recognition Systems Based on Ensemble Learning
Shutong Pang,Ziwei Yang,Chengyou Cai,Zhimin Li
#Integrated learning
#corporate portrait
#classification and identification
#strong supervision model
Enhanced Bagging (eBagging): A Novel Approach for Ensemble Learning
Goksu Tuysuzoglu1 and Derya Birant2 1Graduate School of Natural and Applied Sciences, Dokuz Eylul University, Turkey 2Department of Computer Engineering, Dokuz Eylul University, Turkey
#Bagging
# boosting
# classification algorithms
# machine learning
# random forest
# supervised learning
Predicting Student Enrolments and Attrition Patterns in Higher Educational Institutions using
Machine Learning
#Machine learning
# predictive model
# apriori algorithm
# student retention
# enrolment behaviour
# association rule mining
# boosting
# ensemble method
A Novel Approach to Maximize G-mean in Nonstationary Data with Recurrent Imbalance
Shifts
#Cost-sensitive algorithms
# data stream classification
# imbalanced data
# online learning
# population shift
# skewed data stream
Stacknet Based Decision Fusion Classifier for Network Intrusion Detection
Isaac Kofi Nti,Owusu Narko-Boateng,Adebayo Felix Adekoya,Arjun Remadevi Somanathan
#Network intrusion detection
#stacknet
#ensemble learning classifier
An Efficient Intrusion Detection Framework Based on Embedding Feature Selection and Ensemble Learning Technique
Fawaz Mokbal,Wang Dan,Musa Osman,Yang Ping,Saeed Alsamhi
#Network security
#intrusion detection
#ensemble learning
#xgboost algorithm
#features selection
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