Classification of Quranic topics using SMOTE technique

Arkok, Bassam and Zeki, Akram M. (2021) Classification of Quranic topics using SMOTE technique. In: 2021 International Conference of Modern Trends in Information and Communication Technology Industry, MTICTI 2021, 4-6 Dec 2021, Yemen.

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Abstract

This paper aims to classify the Quranic topics that differ in their number of verses by applying the SMOTE technique. SMOTE is used to rebalance samples of minority classes in these Quranic topics. Moreover, SMOTE is combined with many classifiers to choose the best technique for the Quranic classification. Also, the k-values of SMOTE were studied to select the best values for the Quranic datasets and improve the performance of imbalanced classification. The SMOTE was implemented with many classifiers to choose the best one. The results showed that the Voted Perceptron classifier was the best technique when implemented with the SMOTE method to classify the Quranic topics. Also, it is concluded that the best range of K numbers in SMOTE method is [1, 10], to obtain the higher performance of Quranic classification.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	6153/97230
Uncontrolled Keywords:	Imbalanced Classification, Re-sampling techniques, Quran, Topics, SMOTE
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Akram M Zeki
Date Deposited:	17 Mar 2022 08:42
Last Modified:	17 Mar 2022 08:42
URI:	http://irep.iium.edu.my/id/eprint/97230

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