Classification of Quranic topics using ensemble learning

• Main Authors: Bassam, Arkok, Khedher, Akram M Z M
• Format: Conference or Workshop Item
• Language: English; English
• Published: Institute of Electrical and Electronics Engineers Inc. 2021
• Subjects: QA76 Computer software; TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/97022/1/97022_Classification%20of%20Quranic%20topics.pdf; http://irep.iium.edu.my/97022/2/97022_Classification%20of%20Quranic%20topics_SCOPUS.pdf; http://irep.iium.edu.my/97022/; https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9467178
• Institution: Universiti Islam Antarabangsa Malaysia

Abstract—the real datasets in the world usually are imbalanced; the number of samples for their classes is not equal. Classifying these datasets makes the classifiers pay attention to the class with more samples than the classes with fewer samples. The Qur’anic dataset can be considered an imbalance...